A Moving to another question will save this response. Question 1 The Child Health and Development Studies investigate a range of topics. One study considered all pregnancies between 19 the relationship between weight of the baby (bwt) and the following variables of interest include, smoke: The variables not parity: which is 1 if the child is the first born, and otherwise; length of pregnancy in days (gestation); mother's ag mother's pregnancy weight in pounds (weight). Below are three observations from this data set. 1 2 bwt gestation parity 120 284 0 113 282 0 : 117 297 0 age 27 33 height weight 62 100 64 135 : 65 129 1236 : 38 The summary table below shows the results of a regression model for predicting the average birth weight of babies based Imtercenta Estimate -8041 Std. Error 1405 t value Pr> -5.60 0.00 FT F2 o F3 000 F4 F5 F6 1 Close Window Question 1 of 2 35 points Save Answer a range of topics. One study considered all pregnancies between 1960 and 1967 among women in San Francisco. Here, we study ad the following variables of interest include, smoke: The variable smoke is coded 1 if the mother is a smoker, and o if O otherwise; length of pregnancy in days (gestation); mother's age in years (age); mother's height in inches (height), and w are three observations from this data set. 0 bwt gestation parity age height weight smoke 120 284 27 62 100 0 113 282 33 64 135 0 : : : : 117 297 0 38 65 129 0 sion model for predicting the average birth weight of babies based on all of the variables included in the data set. Estimate Std. Error 80.41 14.35 t value 5.60 Pr(>01) 0.0000 imtercenta 297 117 1226 0 65 38 0 120 The summary table below shows the results of a regression model for predicting the average birth weight of babies based on all of the variables included in the data set (Intercept) gestation parity ge height weight stoko Estimate Std. Error -80.41 14:35 0.41 0.03 -3.33 1.13 -0.01 0.00 1.15 0.21 0.05 0.03 -8.0 t value Pr>+1) -5.00 00.000 15.26 0.0000 0.0033 -0.10 0.9170 5.63 0.0000 1.94 0.0171 -8.81 0.0000 0.95 1.14 Marks Write the equation of the regression model that includes all of the variables. 2. [6 Marks) Interpret the intercept slopes of parity and height in this context. 3. 14 Marks Calculate the residual for the first observation in the data set. 4. 3 Marks) At significant level of 0.04 which variable is statistically significant? Why? 5. [3 Marks] Find 95% confidence interval for the height? 6. [3 Marks] of the model sum of square is 250, and the sum of square of the all birth weights is 335. Calculate the R2 7. [4 Marks] if the model sum of square is 250, and the sum of square of the all birth weights is 335. Calculate the adjusted R2 8. [5 Marks) Suppose that you add another 2 regressors to the model and as a result, the model sum of squares is now 270 Does it seem to you that adding this factor has im 2 (explain) 500 $ A 3 % 5 6 & 7 7 V 8 A 0 E Rent T Y U Interope 0.14 parity 0.00 118 0.00 0.21 0.03 005 15. -2.05 -0.10 5.63 -0.01 LIS 0.05 -8. 10 0.000 0.00 0,9170 0.0000 0.0171 0.0000 wicht smoke -881 1.4 Mark Wite the equation of the regression model that includes all of the variables 2 16 Marts interpret the intercept slopes of parity and height in this context. 3.4 Marks Calculate the residual for the first observation in the data set. 43 Marks) At significant level of 0.04 which variable is statistically significant? Why? 5.3 Marks) Find 95% confidence interval for the height? 6.3 Marks if the model sum of square is 250, and the sum square of the all birth weights is 335. Calculate the R2 7. 14 Marks if the model sum of square is 250, and the sum of square of the all birth weights is 335. Cakulate the adjusted R2 & 15 Mars Suppose that you add another 2 rugressors to the model and as a resut, the model sum of squares is now 270. Does it seem to you that adding this factor has improved the model 7 (explain) Marks Using backward p-value method, which variable, if any, should be removed from the model first? (explain) TT TT Paragraph : Arial ET- 3 (12) ' . 9 po % 5 6 7 7 V 8 9 R. T E t A Moving to another question will save this response. Question 1 The Child Health and Development Studies investigate a range of topics. One study considered all pregnancies between 19 the relationship between weight of the baby (bwt) and the following variables of interest include, smoke: The variables not parity: which is 1 if the child is the first born, and otherwise; length of pregnancy in days (gestation); mother's ag mother's pregnancy weight in pounds (weight). Below are three observations from this data set. 1 2 bwt gestation parity 120 284 0 113 282 0 : 117 297 0 age 27 33 height weight 62 100 64 135 : 65 129 1236 : 38 The summary table below shows the results of a regression model for predicting the average birth weight of babies based Imtercenta Estimate -8041 Std. Error 1405 t value Pr> -5.60 0.00 FT F2 o F3 000 F4 F5 F6 1 Close Window Question 1 of 2 35 points Save Answer a range of topics. One study considered all pregnancies between 1960 and 1967 among women in San Francisco. Here, we study ad the following variables of interest include, smoke: The variable smoke is coded 1 if the mother is a smoker, and o if O otherwise; length of pregnancy in days (gestation); mother's age in years (age); mother's height in inches (height), and w are three observations from this data set. 0 bwt gestation parity age height weight smoke 120 284 27 62 100 0 113 282 33 64 135 0 : : : : 117 297 0 38 65 129 0 sion model for predicting the average birth weight of babies based on all of the variables included in the data set. Estimate Std. Error 80.41 14.35 t value 5.60 Pr(>01) 0.0000 imtercenta 297 117 1226 0 65 38 0 120 The summary table below shows the results of a regression model for predicting the average birth weight of babies based on all of the variables included in the data set (Intercept) gestation parity ge height weight stoko Estimate Std. Error -80.41 14:35 0.41 0.03 -3.33 1.13 -0.01 0.00 1.15 0.21 0.05 0.03 -8.0 t value Pr>+1) -5.00 00.000 15.26 0.0000 0.0033 -0.10 0.9170 5.63 0.0000 1.94 0.0171 -8.81 0.0000 0.95 1.14 Marks Write the equation of the regression model that includes all of the variables. 2. [6 Marks) Interpret the intercept slopes of parity and height in this context. 3. 14 Marks Calculate the residual for the first observation in the data set. 4. 3 Marks) At significant level of 0.04 which variable is statistically significant? Why? 5. [3 Marks] Find 95% confidence interval for the height? 6. [3 Marks] of the model sum of square is 250, and the sum of square of the all birth weights is 335. Calculate the R2 7. [4 Marks] if the model sum of square is 250, and the sum of square of the all birth weights is 335. Calculate the adjusted R2 8. [5 Marks) Suppose that you add another 2 regressors to the model and as a result, the model sum of squares is now 270 Does it seem to you that adding this factor has im 2 (explain) 500 $ A 3 % 5 6 & 7 7 V 8 A 0 E Rent T Y U Interope 0.14 parity 0.00 118 0.00 0.21 0.03 005 15. -2.05 -0.10 5.63 -0.01 LIS 0.05 -8. 10 0.000 0.00 0,9170 0.0000 0.0171 0.0000 wicht smoke -881 1.4 Mark Wite the equation of the regression model that includes all of the variables 2 16 Marts interpret the intercept slopes of parity and height in this context. 3.4 Marks Calculate the residual for the first observation in the data set. 43 Marks) At significant level of 0.04 which variable is statistically significant? Why? 5.3 Marks) Find 95% confidence interval for the height? 6.3 Marks if the model sum of square is 250, and the sum square of the all birth weights is 335. Calculate the R2 7. 14 Marks if the model sum of square is 250, and the sum of square of the all birth weights is 335. Cakulate the adjusted R2 & 15 Mars Suppose that you add another 2 rugressors to the model and as a resut, the model sum of squares is now 270. Does it seem to you that adding this factor has improved the model 7 (explain) Marks Using backward p-value method, which variable, if any, should be removed from the model first? (explain) TT TT Paragraph : Arial ET- 3 (12) ' . 9 po % 5 6 7 7 V 8 9 R. T E t