Brock's administration is thinking about implementing a policy of coed floors only in dormitories. Currently there...
Fantastic news! We've Found the answer you've been seeking!
Question:
Transcribed Image Text:
Brock's administration is thinking about implementing a policy of coed floors only in dormitories. Currently there are only single gender floors. One reason behind such a policy might be to generate an atmosphere of better "understanding" between the sexes. The Dean of Students (DoS) has decided to investigate if such a behavior results in more "togetherness" by attempting to find the determinants of the gender composition at the dinner table in your main dining hall, and in that of McMaster University, which only allows for coed floors in their dorms. The survey includes 176 students, 63 from Brock, and 113 from McMaster. The Dean's first problem is how to define gender composition. To begin with, the survey excludes single persons' tables, since the study is to focus on group behavior. The Dean also eliminates sports teams from the analysis, since a large number of single-gender students will sit at the same table. Finally, the Dean decides to only analyze tables with three or more students, since she worries about "couples" distorting the results. The Dean finally settles for the following specification of the dependent variable: GenderComp= | (50%-% of Male Students at Table)| Where " |(...z...)| " stands for the absolute value of (...Z...). The variable can take on values from zero to fifty. After considering various explanatory variables, the Dean settles for an initial list of eight, and estimates the following relationship, using heteroskedasticity-robust standard errors (this Dean obviously has taken an econometrics course earlier in her career and/or has an able research assistant): Gendercomp = 30.90- (7.73)3.78(0.63)*Size- 8.81(2.66)*DCoed + 2.28 (2.42)*DFemme +2.06 (2.39)*DRommmate- 0.17(3.23)*DAthlete + 1.49 (1.10)* DCons- 0.81(1.20)*SAT+ 1.74(1.43)*SibOther R2= 0.24, SER = 15.50 Where: Size is the number of persons at the table minus 3; DCoed is a binary variable, which takes on the value of 1 if you live on a coed floor, and 0 if otherwise; DFemme is a binary variable, which is 1 for females and zero otherwise; DRoommate is a binary variable which equals 1 if the person at the table has a roommate and is zero otherwise; DAthlete is a binary variable which is 1 if the person at the table is a ECON2P91 - Business Econometrics with Applications Makeup Assignment - (FALL 2020) Page 4|6 member of an athletic varsity team; DCons is a variable which measures the political tendency of the person at the table on a seven-point scale, ranging from 1 being "liberal" to 7 being "conservative"; SAT is the SAT score of the person at the table measured on a seven-point scale, ranging from 1 for the category "900-1000" to 7 for the category "1510 and above"; and increasing by one for 100 point increases (we are considering the same SAT scaling between Canada & US education systems); and SibOther is the number of siblings from the opposite gender in the family the person at the table grew up with. (a) Indicate which of the coefficients are statistically significant. (b) Based on the above results, the Dean decides to specify a more parsimonious form by eliminating the least significant variables. Using the F-statistic for the null hypothesis that there is no relationship between the gender composition at the table and DFemme, DRoommate, DAthlete, and SAT, the regression package returns a value of 1.10. What are the degrees of freedom for the statistic? Look up the 1% and 5% critical values from the F- table and make a decision about the exclusion of these variables based on the critical values. (c) The Dean decides to estimate the following specification next: Gendercomp = 29.07- (3.75)3.80(0.62)*Size- 9.75(1.04)*DCoed + 1.50 (1.04)*DCons+ 1.97(1.44)*SibOther R2 = 0.22 SER = 15.44 Calculate the t-statistics for the coefficients and discuss whether or not the Dean should attempt to simplify the specification further. Based on the results, what might some of the comments be that she will write up for the other senior administrators of Brock? What are some of the potential flaws in her analysis? What other variables do you think she should have considered as explanatory factors? Brock's administration is thinking about implementing a policy of coed floors only in dormitories. Currently there are only single gender floors. One reason behind such a policy might be to generate an atmosphere of better "understanding" between the sexes. The Dean of Students (DoS) has decided to investigate if such a behavior results in more "togetherness" by attempting to find the determinants of the gender composition at the dinner table in your main dining hall, and in that of McMaster University, which only allows for coed floors in their dorms. The survey includes 176 students, 63 from Brock, and 113 from McMaster. The Dean's first problem is how to define gender composition. To begin with, the survey excludes single persons' tables, since the study is to focus on group behavior. The Dean also eliminates sports teams from the analysis, since a large number of single-gender students will sit at the same table. Finally, the Dean decides to only analyze tables with three or more students, since she worries about "couples" distorting the results. The Dean finally settles for the following specification of the dependent variable: GenderComp= | (50%-% of Male Students at Table)| Where " |(...z...)| " stands for the absolute value of (...Z...). The variable can take on values from zero to fifty. After considering various explanatory variables, the Dean settles for an initial list of eight, and estimates the following relationship, using heteroskedasticity-robust standard errors (this Dean obviously has taken an econometrics course earlier in her career and/or has an able research assistant): Gendercomp = 30.90- (7.73)3.78(0.63)*Size- 8.81(2.66)*DCoed + 2.28 (2.42)*DFemme +2.06 (2.39)*DRommmate- 0.17(3.23)*DAthlete + 1.49 (1.10)* DCons- 0.81(1.20)*SAT+ 1.74(1.43)*SibOther R2= 0.24, SER = 15.50 Where: Size is the number of persons at the table minus 3; DCoed is a binary variable, which takes on the value of 1 if you live on a coed floor, and 0 if otherwise; DFemme is a binary variable, which is 1 for females and zero otherwise; DRoommate is a binary variable which equals 1 if the person at the table has a roommate and is zero otherwise; DAthlete is a binary variable which is 1 if the person at the table is a ECON2P91 - Business Econometrics with Applications Makeup Assignment - (FALL 2020) Page 4|6 member of an athletic varsity team; DCons is a variable which measures the political tendency of the person at the table on a seven-point scale, ranging from 1 being "liberal" to 7 being "conservative"; SAT is the SAT score of the person at the table measured on a seven-point scale, ranging from 1 for the category "900-1000" to 7 for the category "1510 and above"; and increasing by one for 100 point increases (we are considering the same SAT scaling between Canada & US education systems); and SibOther is the number of siblings from the opposite gender in the family the person at the table grew up with. (a) Indicate which of the coefficients are statistically significant. (b) Based on the above results, the Dean decides to specify a more parsimonious form by eliminating the least significant variables. Using the F-statistic for the null hypothesis that there is no relationship between the gender composition at the table and DFemme, DRoommate, DAthlete, and SAT, the regression package returns a value of 1.10. What are the degrees of freedom for the statistic? Look up the 1% and 5% critical values from the F- table and make a decision about the exclusion of these variables based on the critical values. (c) The Dean decides to estimate the following specification next: Gendercomp = 29.07- (3.75)3.80(0.62)*Size- 9.75(1.04)*DCoed + 1.50 (1.04)*DCons+ 1.97(1.44)*SibOther R2 = 0.22 SER = 15.44 Calculate the t-statistics for the coefficients and discuss whether or not the Dean should attempt to simplify the specification further. Based on the results, what might some of the comments be that she will write up for the other senior administrators of Brock? What are some of the potential flaws in her analysis? What other variables do you think she should have considered as explanatory factors? Brock's administration is thinking about implementing a policy of coed floors only in dormitories. Currently there are only single gender floors. One reason behind such a policy might be to generate an atmosphere of better "understanding" between the sexes. The Dean of Students (DoS) has decided to investigate if such a behavior results in more "togetherness" by attempting to find the determinants of the gender composition at the dinner table in your main dining hall, and in that of McMaster University, which only allows for coed floors in their dorms. The survey includes 176 students, 63 from Brock, and 113 from McMaster. The Dean's first problem is how to define gender composition. To begin with, the survey excludes single persons' tables, since the study is to focus on group behavior. The Dean also eliminates sports teams from the analysis, since a large number of single-gender students will sit at the same table. Finally, the Dean decides to only analyze tables with three or more students, since she worries about "couples" distorting the results. The Dean finally settles for the following specification of the dependent variable: GenderComp= | (50%-% of Male Students at Table)| Where " |(...z...)| " stands for the absolute value of (...Z...). The variable can take on values from zero to fifty. After considering various explanatory variables, the Dean settles for an initial list of eight, and estimates the following relationship, using heteroskedasticity-robust standard errors (this Dean obviously has taken an econometrics course earlier in her career and/or has an able research assistant): Gendercomp = 30.90- (7.73)3.78(0.63)*Size- 8.81(2.66)*DCoed + 2.28 (2.42)*DFemme +2.06 (2.39)*DRommmate- 0.17(3.23)*DAthlete + 1.49 (1.10)* DCons- 0.81(1.20)*SAT+ 1.74(1.43)*SibOther R2= 0.24, SER = 15.50 Where: Size is the number of persons at the table minus 3; DCoed is a binary variable, which takes on the value of 1 if you live on a coed floor, and 0 if otherwise; DFemme is a binary variable, which is 1 for females and zero otherwise; DRoommate is a binary variable which equals 1 if the person at the table has a roommate and is zero otherwise; DAthlete is a binary variable which is 1 if the person at the table is a ECON2P91 - Business Econometrics with Applications Makeup Assignment - (FALL 2020) Page 4|6 member of an athletic varsity team; DCons is a variable which measures the political tendency of the person at the table on a seven-point scale, ranging from 1 being "liberal" to 7 being "conservative"; SAT is the SAT score of the person at the table measured on a seven-point scale, ranging from 1 for the category "900-1000" to 7 for the category "1510 and above"; and increasing by one for 100 point increases (we are considering the same SAT scaling between Canada & US education systems); and SibOther is the number of siblings from the opposite gender in the family the person at the table grew up with. (a) Indicate which of the coefficients are statistically significant. (b) Based on the above results, the Dean decides to specify a more parsimonious form by eliminating the least significant variables. Using the F-statistic for the null hypothesis that there is no relationship between the gender composition at the table and DFemme, DRoommate, DAthlete, and SAT, the regression package returns a value of 1.10. What are the degrees of freedom for the statistic? Look up the 1% and 5% critical values from the F- table and make a decision about the exclusion of these variables based on the critical values. (c) The Dean decides to estimate the following specification next: Gendercomp = 29.07- (3.75)3.80(0.62)*Size- 9.75(1.04)*DCoed + 1.50 (1.04)*DCons+ 1.97(1.44)*SibOther R2 = 0.22 SER = 15.44 Calculate the t-statistics for the coefficients and discuss whether or not the Dean should attempt to simplify the specification further. Based on the results, what might some of the comments be that she will write up for the other senior administrators of Brock? What are some of the potential flaws in her analysis? What other variables do you think she should have considered as explanatory factors? Brock's administration is thinking about implementing a policy of coed floors only in dormitories. Currently there are only single gender floors. One reason behind such a policy might be to generate an atmosphere of better "understanding" between the sexes. The Dean of Students (DoS) has decided to investigate if such a behavior results in more "togetherness" by attempting to find the determinants of the gender composition at the dinner table in your main dining hall, and in that of McMaster University, which only allows for coed floors in their dorms. The survey includes 176 students, 63 from Brock, and 113 from McMaster. The Dean's first problem is how to define gender composition. To begin with, the survey excludes single persons' tables, since the study is to focus on group behavior. The Dean also eliminates sports teams from the analysis, since a large number of single-gender students will sit at the same table. Finally, the Dean decides to only analyze tables with three or more students, since she worries about "couples" distorting the results. The Dean finally settles for the following specification of the dependent variable: GenderComp= | (50%-% of Male Students at Table)| Where " |(...z...)| " stands for the absolute value of (...Z...). The variable can take on values from zero to fifty. After considering various explanatory variables, the Dean settles for an initial list of eight, and estimates the following relationship, using heteroskedasticity-robust standard errors (this Dean obviously has taken an econometrics course earlier in her career and/or has an able research assistant): Gendercomp = 30.90- (7.73)3.78(0.63)*Size- 8.81(2.66)*DCoed + 2.28 (2.42)*DFemme +2.06 (2.39)*DRommmate- 0.17(3.23)*DAthlete + 1.49 (1.10)* DCons- 0.81(1.20)*SAT+ 1.74(1.43)*SibOther R2= 0.24, SER = 15.50 Where: Size is the number of persons at the table minus 3; DCoed is a binary variable, which takes on the value of 1 if you live on a coed floor, and 0 if otherwise; DFemme is a binary variable, which is 1 for females and zero otherwise; DRoommate is a binary variable which equals 1 if the person at the table has a roommate and is zero otherwise; DAthlete is a binary variable which is 1 if the person at the table is a ECON2P91 - Business Econometrics with Applications Makeup Assignment - (FALL 2020) Page 4|6 member of an athletic varsity team; DCons is a variable which measures the political tendency of the person at the table on a seven-point scale, ranging from 1 being "liberal" to 7 being "conservative"; SAT is the SAT score of the person at the table measured on a seven-point scale, ranging from 1 for the category "900-1000" to 7 for the category "1510 and above"; and increasing by one for 100 point increases (we are considering the same SAT scaling between Canada & US education systems); and SibOther is the number of siblings from the opposite gender in the family the person at the table grew up with. (a) Indicate which of the coefficients are statistically significant. (b) Based on the above results, the Dean decides to specify a more parsimonious form by eliminating the least significant variables. Using the F-statistic for the null hypothesis that there is no relationship between the gender composition at the table and DFemme, DRoommate, DAthlete, and SAT, the regression package returns a value of 1.10. What are the degrees of freedom for the statistic? Look up the 1% and 5% critical values from the F- table and make a decision about the exclusion of these variables based on the critical values. (c) The Dean decides to estimate the following specification next: Gendercomp = 29.07- (3.75)3.80(0.62)*Size- 9.75(1.04)*DCoed + 1.50 (1.04)*DCons+ 1.97(1.44)*SibOther R2 = 0.22 SER = 15.44 Calculate the t-statistics for the coefficients and discuss whether or not the Dean should attempt to simplify the specification further. Based on the results, what might some of the comments be that she will write up for the other senior administrators of Brock? What are some of the potential flaws in her analysis? What other variables do you think she should have considered as explanatory factors? Brock's administration is thinking about implementing a policy of coed floors only in dormitories. Currently there are only single gender floors. One reason behind such a policy might be to generate an atmosphere of better "understanding" between the sexes. The Dean of Students (DoS) has decided to investigate if such a behavior results in more "togetherness" by attempting to find the determinants of the gender composition at the dinner table in your main dining hall, and in that of McMaster University, which only allows for coed floors in their dorms. The survey includes 176 students, 63 from Brock, and 113 from McMaster. The Dean's first problem is how to define gender composition. To begin with, the survey excludes single persons' tables, since the study is to focus on group behavior. The Dean also eliminates sports teams from the analysis, since a large number of single-gender students will sit at the same table. Finally, the Dean decides to only analyze tables with three or more students, since she worries about "couples" distorting the results. The Dean finally settles for the following specification of the dependent variable: GenderComp= | (50%-% of Male Students at Table)| Where " |(...z...)| " stands for the absolute value of (...Z...). The variable can take on values from zero to fifty. After considering various explanatory variables, the Dean settles for an initial list of eight, and estimates the following relationship, using heteroskedasticity-robust standard errors (this Dean obviously has taken an econometrics course earlier in her career and/or has an able research assistant): Gendercomp = 30.90- (7.73)3.78(0.63)*Size- 8.81(2.66)*DCoed + 2.28 (2.42)*DFemme +2.06 (2.39)*DRommmate- 0.17(3.23)*DAthlete + 1.49 (1.10)* DCons- 0.81(1.20)*SAT+ 1.74(1.43)*SibOther R2= 0.24, SER = 15.50 Where: Size is the number of persons at the table minus 3; DCoed is a binary variable, which takes on the value of 1 if you live on a coed floor, and 0 if otherwise; DFemme is a binary variable, which is 1 for females and zero otherwise; DRoommate is a binary variable which equals 1 if the person at the table has a roommate and is zero otherwise; DAthlete is a binary variable which is 1 if the person at the table is a ECON2P91 - Business Econometrics with Applications Makeup Assignment - (FALL 2020) Page 4|6 member of an athletic varsity team; DCons is a variable which measures the political tendency of the person at the table on a seven-point scale, ranging from 1 being "liberal" to 7 being "conservative"; SAT is the SAT score of the person at the table measured on a seven-point scale, ranging from 1 for the category "900-1000" to 7 for the category "1510 and above"; and increasing by one for 100 point increases (we are considering the same SAT scaling between Canada & US education systems); and SibOther is the number of siblings from the opposite gender in the family the person at the table grew up with. (a) Indicate which of the coefficients are statistically significant. (b) Based on the above results, the Dean decides to specify a more parsimonious form by eliminating the least significant variables. Using the F-statistic for the null hypothesis that there is no relationship between the gender composition at the table and DFemme, DRoommate, DAthlete, and SAT, the regression package returns a value of 1.10. What are the degrees of freedom for the statistic? Look up the 1% and 5% critical values from the F- table and make a decision about the exclusion of these variables based on the critical values. (c) The Dean decides to estimate the following specification next: Gendercomp = 29.07- (3.75)3.80(0.62)*Size- 9.75(1.04)*DCoed + 1.50 (1.04)*DCons+ 1.97(1.44)*SibOther R2 = 0.22 SER = 15.44 Calculate the t-statistics for the coefficients and discuss whether or not the Dean should attempt to simplify the specification further. Based on the results, what might some of the comments be that she will write up for the other senior administrators of Brock? What are some of the potential flaws in her analysis? What other variables do you think she should have considered as explanatory factors? Brock's administration is thinking about implementing a policy of coed floors only in dormitories. Currently there are only single gender floors. One reason behind such a policy might be to generate an atmosphere of better "understanding" between the sexes. The Dean of Students (DoS) has decided to investigate if such a behavior results in more "togetherness" by attempting to find the determinants of the gender composition at the dinner table in your main dining hall, and in that of McMaster University, which only allows for coed floors in their dorms. The survey includes 176 students, 63 from Brock, and 113 from McMaster. The Dean's first problem is how to define gender composition. To begin with, the survey excludes single persons' tables, since the study is to focus on group behavior. The Dean also eliminates sports teams from the analysis, since a large number of single-gender students will sit at the same table. Finally, the Dean decides to only analyze tables with three or more students, since she worries about "couples" distorting the results. The Dean finally settles for the following specification of the dependent variable: GenderComp= | (50%-% of Male Students at Table)| Where " |(...z...)| " stands for the absolute value of (...Z...). The variable can take on values from zero to fifty. After considering various explanatory variables, the Dean settles for an initial list of eight, and estimates the following relationship, using heteroskedasticity-robust standard errors (this Dean obviously has taken an econometrics course earlier in her career and/or has an able research assistant): Gendercomp = 30.90- (7.73)3.78(0.63)*Size- 8.81(2.66)*DCoed + 2.28 (2.42)*DFemme +2.06 (2.39)*DRommmate- 0.17(3.23)*DAthlete + 1.49 (1.10)* DCons- 0.81(1.20)*SAT+ 1.74(1.43)*SibOther R2= 0.24, SER = 15.50 Where: Size is the number of persons at the table minus 3; DCoed is a binary variable, which takes on the value of 1 if you live on a coed floor, and 0 if otherwise; DFemme is a binary variable, which is 1 for females and zero otherwise; DRoommate is a binary variable which equals 1 if the person at the table has a roommate and is zero otherwise; DAthlete is a binary variable which is 1 if the person at the table is a ECON2P91 - Business Econometrics with Applications Makeup Assignment - (FALL 2020) Page 4|6 member of an athletic varsity team; DCons is a variable which measures the political tendency of the person at the table on a seven-point scale, ranging from 1 being "liberal" to 7 being "conservative"; SAT is the SAT score of the person at the table measured on a seven-point scale, ranging from 1 for the category "900-1000" to 7 for the category "1510 and above"; and increasing by one for 100 point increases (we are considering the same SAT scaling between Canada & US education systems); and SibOther is the number of siblings from the opposite gender in the family the person at the table grew up with. (a) Indicate which of the coefficients are statistically significant. (b) Based on the above results, the Dean decides to specify a more parsimonious form by eliminating the least significant variables. Using the F-statistic for the null hypothesis that there is no relationship between the gender composition at the table and DFemme, DRoommate, DAthlete, and SAT, the regression package returns a value of 1.10. What are the degrees of freedom for the statistic? Look up the 1% and 5% critical values from the F- table and make a decision about the exclusion of these variables based on the critical values. (c) The Dean decides to estimate the following specification next: Gendercomp = 29.07- (3.75)3.80(0.62)*Size- 9.75(1.04)*DCoed + 1.50 (1.04)*DCons+ 1.97(1.44)*SibOther R2 = 0.22 SER = 15.44 Calculate the t-statistics for the coefficients and discuss whether or not the Dean should attempt to simplify the specification further. Based on the results, what might some of the comments be that she will write up for the other senior administrators of Brock? What are some of the potential flaws in her analysis? What other variables do you think she should have considered as explanatory factors? Brock's administration is thinking about implementing a policy of coed floors only in dormitories. Currently there are only single gender floors. One reason behind such a policy might be to generate an atmosphere of better "understanding" between the sexes. The Dean of Students (DoS) has decided to investigate if such a behavior results in more "togetherness" by attempting to find the determinants of the gender composition at the dinner table in your main dining hall, and in that of McMaster University, which only allows for coed floors in their dorms. The survey includes 176 students, 63 from Brock, and 113 from McMaster. The Dean's first problem is how to define gender composition. To begin with, the survey excludes single persons' tables, since the study is to focus on group behavior. The Dean also eliminates sports teams from the analysis, since a large number of single-gender students will sit at the same table. Finally, the Dean decides to only analyze tables with three or more students, since she worries about "couples" distorting the results. The Dean finally settles for the following specification of the dependent variable: GenderComp= | (50%-% of Male Students at Table)| Where " |(...z...)| " stands for the absolute value of (...Z...). The variable can take on values from zero to fifty. After considering various explanatory variables, the Dean settles for an initial list of eight, and estimates the following relationship, using heteroskedasticity-robust standard errors (this Dean obviously has taken an econometrics course earlier in her career and/or has an able research assistant): Gendercomp = 30.90- (7.73)3.78(0.63)*Size- 8.81(2.66)*DCoed + 2.28 (2.42)*DFemme +2.06 (2.39)*DRommmate- 0.17(3.23)*DAthlete + 1.49 (1.10)* DCons- 0.81(1.20)*SAT+ 1.74(1.43)*SibOther R2= 0.24, SER = 15.50 Where: Size is the number of persons at the table minus 3; DCoed is a binary variable, which takes on the value of 1 if you live on a coed floor, and 0 if otherwise; DFemme is a binary variable, which is 1 for females and zero otherwise; DRoommate is a binary variable which equals 1 if the person at the table has a roommate and is zero otherwise; DAthlete is a binary variable which is 1 if the person at the table is a ECON2P91 - Business Econometrics with Applications Makeup Assignment - (FALL 2020) Page 4|6 member of an athletic varsity team; DCons is a variable which measures the political tendency of the person at the table on a seven-point scale, ranging from 1 being "liberal" to 7 being "conservative"; SAT is the SAT score of the person at the table measured on a seven-point scale, ranging from 1 for the category "900-1000" to 7 for the category "1510 and above"; and increasing by one for 100 point increases (we are considering the same SAT scaling between Canada & US education systems); and SibOther is the number of siblings from the opposite gender in the family the person at the table grew up with. (a) Indicate which of the coefficients are statistically significant. (b) Based on the above results, the Dean decides to specify a more parsimonious form by eliminating the least significant variables. Using the F-statistic for the null hypothesis that there is no relationship between the gender composition at the table and DFemme, DRoommate, DAthlete, and SAT, the regression package returns a value of 1.10. What are the degrees of freedom for the statistic? Look up the 1% and 5% critical values from the F- table and make a decision about the exclusion of these variables based on the critical values. (c) The Dean decides to estimate the following specification next: Gendercomp = 29.07- (3.75)3.80(0.62)*Size- 9.75(1.04)*DCoed + 1.50 (1.04)*DCons+ 1.97(1.44)*SibOther R2 = 0.22 SER = 15.44 Calculate the t-statistics for the coefficients and discuss whether or not the Dean should attempt to simplify the specification further. Based on the results, what might some of the comments be that she will write up for the other senior administrators of Brock? What are some of the potential flaws in her analysis? What other variables do you think she should have considered as explanatory factors? Brock's administration is thinking about implementing a policy of coed floors only in dormitories. Currently there are only single gender floors. One reason behind such a policy might be to generate an atmosphere of better "understanding" between the sexes. The Dean of Students (DoS) has decided to investigate if such a behavior results in more "togetherness" by attempting to find the determinants of the gender composition at the dinner table in your main dining hall, and in that of McMaster University, which only allows for coed floors in their dorms. The survey includes 176 students, 63 from Brock, and 113 from McMaster. The Dean's first problem is how to define gender composition. To begin with, the survey excludes single persons' tables, since the study is to focus on group behavior. The Dean also eliminates sports teams from the analysis, since a large number of single-gender students will sit at the same table. Finally, the Dean decides to only analyze tables with three or more students, since she worries about "couples" distorting the results. The Dean finally settles for the following specification of the dependent variable: GenderComp= | (50%-% of Male Students at Table)| Where " |(...z...)| " stands for the absolute value of (...Z...). The variable can take on values from zero to fifty. After considering various explanatory variables, the Dean settles for an initial list of eight, and estimates the following relationship, using heteroskedasticity-robust standard errors (this Dean obviously has taken an econometrics course earlier in her career and/or has an able research assistant): Gendercomp = 30.90- (7.73)3.78(0.63)*Size- 8.81(2.66)*DCoed + 2.28 (2.42)*DFemme +2.06 (2.39)*DRommmate- 0.17(3.23)*DAthlete + 1.49 (1.10)* DCons- 0.81(1.20)*SAT+ 1.74(1.43)*SibOther R2= 0.24, SER = 15.50 Where: Size is the number of persons at the table minus 3; DCoed is a binary variable, which takes on the value of 1 if you live on a coed floor, and 0 if otherwise; DFemme is a binary variable, which is 1 for females and zero otherwise; DRoommate is a binary variable which equals 1 if the person at the table has a roommate and is zero otherwise; DAthlete is a binary variable which is 1 if the person at the table is a ECON2P91 - Business Econometrics with Applications Makeup Assignment - (FALL 2020) Page 4|6 member of an athletic varsity team; DCons is a variable which measures the political tendency of the person at the table on a seven-point scale, ranging from 1 being "liberal" to 7 being "conservative"; SAT is the SAT score of the person at the table measured on a seven-point scale, ranging from 1 for the category "900-1000" to 7 for the category "1510 and above"; and increasing by one for 100 point increases (we are considering the same SAT scaling between Canada & US education systems); and SibOther is the number of siblings from the opposite gender in the family the person at the table grew up with. (a) Indicate which of the coefficients are statistically significant. (b) Based on the above results, the Dean decides to specify a more parsimonious form by eliminating the least significant variables. Using the F-statistic for the null hypothesis that there is no relationship between the gender composition at the table and DFemme, DRoommate, DAthlete, and SAT, the regression package returns a value of 1.10. What are the degrees of freedom for the statistic? Look up the 1% and 5% critical values from the F- table and make a decision about the exclusion of these variables based on the critical values. (c) The Dean decides to estimate the following specification next: Gendercomp = 29.07- (3.75)3.80(0.62)*Size- 9.75(1.04)*DCoed + 1.50 (1.04)*DCons+ 1.97(1.44)*SibOther R2 = 0.22 SER = 15.44 Calculate the t-statistics for the coefficients and discuss whether or not the Dean should attempt to simplify the specification further. Based on the results, what might some of the comments be that she will write up for the other senior administrators of Brock? What are some of the potential flaws in her analysis? What other variables do you think she should have considered as explanatory factors? Brock's administration is thinking about implementing a policy of coed floors only in dormitories. Currently there are only single gender floors. One reason behind such a policy might be to generate an atmosphere of better "understanding" between the sexes. The Dean of Students (DoS) has decided to investigate if such a behavior results in more "togetherness" by attempting to find the determinants of the gender composition at the dinner table in your main dining hall, and in that of McMaster University, which only allows for coed floors in their dorms. The survey includes 176 students, 63 from Brock, and 113 from McMaster. The Dean's first problem is how to define gender composition. To begin with, the survey excludes single persons' tables, since the study is to focus on group behavior. The Dean also eliminates sports teams from the analysis, since a large number of single-gender students will sit at the same table. Finally, the Dean decides to only analyze tables with three or more students, since she worries about "couples" distorting the results. The Dean finally settles for the following specification of the dependent variable: GenderComp= | (50%-% of Male Students at Table)| Where " |(...z...)| " stands for the absolute value of (...Z...). The variable can take on values from zero to fifty. After considering various explanatory variables, the Dean settles for an initial list of eight, and estimates the following relationship, using heteroskedasticity-robust standard errors (this Dean obviously has taken an econometrics course earlier in her career and/or has an able research assistant): Gendercomp = 30.90- (7.73)3.78(0.63)*Size- 8.81(2.66)*DCoed + 2.28 (2.42)*DFemme +2.06 (2.39)*DRommmate- 0.17(3.23)*DAthlete + 1.49 (1.10)* DCons- 0.81(1.20)*SAT+ 1.74(1.43)*SibOther R2= 0.24, SER = 15.50 Where: Size is the number of persons at the table minus 3; DCoed is a binary variable, which takes on the value of 1 if you live on a coed floor, and 0 if otherwise; DFemme is a binary variable, which is 1 for females and zero otherwise; DRoommate is a binary variable which equals 1 if the person at the table has a roommate and is zero otherwise; DAthlete is a binary variable which is 1 if the person at the table is a ECON2P91 - Business Econometrics with Applications Makeup Assignment - (FALL 2020) Page 4|6 member of an athletic varsity team; DCons is a variable which measures the political tendency of the person at the table on a seven-point scale, ranging from 1 being "liberal" to 7 being "conservative"; SAT is the SAT score of the person at the table measured on a seven-point scale, ranging from 1 for the category "900-1000" to 7 for the category "1510 and above"; and increasing by one for 100 point increases (we are considering the same SAT scaling between Canada & US education systems); and SibOther is the number of siblings from the opposite gender in the family the person at the table grew up with. (a) Indicate which of the coefficients are statistically significant. (b) Based on the above results, the Dean decides to specify a more parsimonious form by eliminating the least significant variables. Using the F-statistic for the null hypothesis that there is no relationship between the gender composition at the table and DFemme, DRoommate, DAthlete, and SAT, the regression package returns a value of 1.10. What are the degrees of freedom for the statistic? Look up the 1% and 5% critical values from the F- table and make a decision about the exclusion of these variables based on the critical values. (c) The Dean decides to estimate the following specification next: Gendercomp = 29.07- (3.75)3.80(0.62)*Size- 9.75(1.04)*DCoed + 1.50 (1.04)*DCons+ 1.97(1.44)*SibOther R2 = 0.22 SER = 15.44 Calculate the t-statistics for the coefficients and discuss whether or not the Dean should attempt to simplify the specification further. Based on the results, what might some of the comments be that she will write up for the other senior administrators of Brock? What are some of the potential flaws in her analysis? What other variables do you think she should have considered as explanatory factors? Brock's administration is thinking about implementing a policy of coed floors only in dormitories. Currently there are only single gender floors. One reason behind such a policy might be to generate an atmosphere of better "understanding" between the sexes. The Dean of Students (DoS) has decided to investigate if such a behavior results in more "togetherness" by attempting to find the determinants of the gender composition at the dinner table in your main dining hall, and in that of McMaster University, which only allows for coed floors in their dorms. The survey includes 176 students, 63 from Brock, and 113 from McMaster. The Dean's first problem is how to define gender composition. To begin with, the survey excludes single persons' tables, since the study is to focus on group behavior. The Dean also eliminates sports teams from the analysis, since a large number of single-gender students will sit at the same table. Finally, the Dean decides to only analyze tables with three or more students, since she worries about "couples" distorting the results. The Dean finally settles for the following specification of the dependent variable: GenderComp= | (50%-% of Male Students at Table)| Where " |(...z...)| " stands for the absolute value of (...Z...). The variable can take on values from zero to fifty. After considering various explanatory variables, the Dean settles for an initial list of eight, and estimates the following relationship, using heteroskedasticity-robust standard errors (this Dean obviously has taken an econometrics course earlier in her career and/or has an able research assistant): Gendercomp = 30.90- (7.73)3.78(0.63)*Size- 8.81(2.66)*DCoed + 2.28 (2.42)*DFemme +2.06 (2.39)*DRommmate- 0.17(3.23)*DAthlete + 1.49 (1.10)* DCons- 0.81(1.20)*SAT+ 1.74(1.43)*SibOther R2= 0.24, SER = 15.50 Where: Size is the number of persons at the table minus 3; DCoed is a binary variable, which takes on the value of 1 if you live on a coed floor, and 0 if otherwise; DFemme is a binary variable, which is 1 for females and zero otherwise; DRoommate is a binary variable which equals 1 if the person at the table has a roommate and is zero otherwise; DAthlete is a binary variable which is 1 if the person at the table is a ECON2P91 - Business Econometrics with Applications Makeup Assignment - (FALL 2020) Page 4|6 member of an athletic varsity team; DCons is a variable which measures the political tendency of the person at the table on a seven-point scale, ranging from 1 being "liberal" to 7 being "conservative"; SAT is the SAT score of the person at the table measured on a seven-point scale, ranging from 1 for the category "900-1000" to 7 for the category "1510 and above"; and increasing by one for 100 point increases (we are considering the same SAT scaling between Canada & US education systems); and SibOther is the number of siblings from the opposite gender in the family the person at the table grew up with. (a) Indicate which of the coefficients are statistically significant. (b) Based on the above results, the Dean decides to specify a more parsimonious form by eliminating the least significant variables. Using the F-statistic for the null hypothesis that there is no relationship between the gender composition at the table and DFemme, DRoommate, DAthlete, and SAT, the regression package returns a value of 1.10. What are the degrees of freedom for the statistic? Look up the 1% and 5% critical values from the F- table and make a decision about the exclusion of these variables based on the critical values. (c) The Dean decides to estimate the following specification next: Gendercomp = 29.07- (3.75)3.80(0.62)*Size- 9.75(1.04)*DCoed + 1.50 (1.04)*DCons+ 1.97(1.44)*SibOther R2 = 0.22 SER = 15.44 Calculate the t-statistics for the coefficients and discuss whether or not the Dean should attempt to simplify the specification further. Based on the results, what might some of the comments be that she will write up for the other senior administrators of Brock? What are some of the potential flaws in her analysis? What other variables do you think she should have considered as explanatory factors?
Expert Answer:
Answer rating: 100% (QA)
The administration of your universitycollege is thinking about implementing a policy of coed floors ... View the full answer
Related Book For
Posted Date:
Students also viewed these accounting questions
-
A researcher on superstition decided to investigate if walking under a ladder really brought about bad luck. He took 100 people to his laboratory, one at a time. As each person entered, he flipped a...
-
An anti-doping agency decided to investigate if an athletes eliteness was related to the likelihood of doping. It unexpectedly drug-tested the top 10 finishers in all the track and field events at a...
-
The dean of the graduate business administration school at University of Texas at Austin wants to select a sample of 100 students who applied to one of five majors. The numbers of applicants for each...
-
Determine the reactions at the beam supports for the given loading when wO = 400 lb/ft. 300 lb/ft A. 5 ft
-
If the company in question 4 had set a goal of increasing sales by 28% during the next five years, what should be the sales goal for 2018?
-
Which depends on gravityweight or mass?
-
A business buys a car which costs 15,000. This price includes 500 for insurance and 60 for road tax. The business's name was painted on the side of the car at an additional cost of 160. The car is...
-
The CEO of a regional airline recently learned that its only competitor is suffering from a significant cash-flow constraint. The CEO realizes that its competitors days are numbered, but has asked...
-
The Lease of the Parking Garage To prevent excessive traffic jams, the Alicante Tourist Board suggested Cicln lease or acquire a parking garage recently built in the proximity of the stadium. The...
-
Read the chapter opener about Jake Loosararian and his company, Gecko Robotics. Suppose Jakes business continues to grow, and he builds a massive new manufacturing facility and warehousing center to...
-
Part C: Workout Problems. Answer All Questions (10 marks) 1. Bronco Enterprises provided you the following details for the year 2015 Beginning inventory First Purchase Second Purchase Third Purchase...
-
1) Consider the following definitions for sets of characters: Digits={0, 1, 2, 3, 4, 5, 6, 7, 8, 9} = Letters {a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v, W, X, Y, Z } Special...
-
An economy has suffered a positive inflation shock caused by a disruption in the global supply chain. Using a diagram in the 3 equation model, explain how a central bank succeeds in achieving the...
-
Beta Company reported the following in the equity section of its balance sheet on December 31, 2019: Common shares, unlimited authorized, 100,000 shares issued $200,000 Contributed surplus:...
-
A $150, 000 bond bearing interest at 6.6% payable semi dash annually is bought six years before maturity to yield 6.75% compounded quarterly. If the bond is redeemable at par, what is the purchase...
-
Consider the following financial statement information for the Newk Corporation: Item Beginning Ending Inventory $ 1 1 , 0 0 0 $ 1 2 , 0 0 0 Accounts receivable 6 , 0 0 0 6 , 3 0 0 Accounts payable 8...
-
Exercise 18-11 Here is the Income statement for Myers, Inc. Sales revenue Cost of goods sold Gross profit Myers, Inc. Income Statement For the Year Ended December 31, 2020 $442,000 218,000 224,000...
-
Conduct a VRIO analysis by ranking Husson University (in Maine) business school in terms of the following six dimensions relative to the top three rival schools. If you were the dean with a limited...
-
f(x) = 2x, g(x) = -2x Graph both functions by hand on the same coordinate system.
-
a. Carefully graph the given equation by hand. Then find the slope of the line by using the ratio rise/run. i. y = 2x + 1 ii. y = 3x 5 iii. Y = 2x + 6 b. Compare the slope of each line with the...
-
Y = 2 Determine the slope and the y-intercept. Use them to graph the equation by hand
-
Tektronix, Inc., an Oregon-based MNE, manufactures scientific instruments. Jerry Davies, Treasurer, needs to choose an instrument to hedge a \( 2,000,000\) sale to Siemens in Germany, with payment...
-
Call Options on British Pounds (Option.xls) The set of assumptions used throughout the second half of this chapter assumed a spot rate of \(\$ 1.70 / \), a 90 -day maturity, U.S. dollar and British...
-
Jos Ballini is a currency trader and speculator for Bozano Simonsen, one of the largest investment banking firms in So Paulo. The current spot rate is \(\mathrm{R} \$ 1.7800 / \$\), and the 360 -day...
Study smarter with the SolutionInn App