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evals evals Sourch Columns (BO) score rank Lethnicity gender Rows All rows 483 Selected 0 Excluded 0 Hidden 0 Labelfed 1 2 3 4 5

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evals evals Sourch Columns (BO) score rank Lethnicity gender Rows All rows 483 Selected 0 Excluded 0 Hidden 0 Labelfed 1 2 3 4 5 6 7 B 9 10 OOG score rank ethnicity gender 4.7 tenure track minority female 4.1 tenure track minority female 3.9 tenure track minority female 4.8 tenure track minority female 4.6 tenured not minority male 4.3 tonured not minority male 2.8 tenured not minority male 41 tenured not minority male 3.4 tenured not minority male 4.5 tenured not minority female age 36 36 36 36 59 59 59 51 51 40 89988 S&&&& cis students cls level bty avg 5 43 upper 125 upper 5 125 upper 5 123 upper 5 20 upper 3 40 upper 3 44 upper 3 55 upper 3333 195 upper 3.333 46 upper 3.167 -2 2. (Total 2 points) In this scenario, what are the independent and dependent variables? Define the independent and dependent variables to examine a relationship between factors affects average score Write your answer in the table below. Dependent Variable (y) Independent Variable (x) 3. (Total 5 points) Describe the relationship between the average beauty rating of professor and the average professor evaluation score using a scatter plot. Do these data provide convincing evidence that the slope of the relationship between teaching evaluation and beauty is positive? Create a scatter plot on JMP; Graph-Scatterplot Matrix, then click the red upside down triangle Fit line [ Insert the Scatterplot of JMP here (1 point) 1 [Describe the relationship here (4 points) 4. (Total 3 points) Fit the least squared regression model on JMP (please see the chapter 14 example) and write the estimated regression equation. Hint: Form of estimated regression equation: 9 = Bo + B. xx; Insert the Coefficient table of JMP here (1 point) [Write the estimated regression equation here (2 points) 1 5. (Total 3 points) Evaluate the model based on the determination of coefficient (R2) and standard error of the model 1) (2 points) Report R2, then interpret the R? R2 = Interpretation: 5. (Total 3 points) Evaluate the model based on the determination of coefficient (R2) and standard error of the model. 1) (2 points) Report R, then interpret the R2. R2 = Interpretation: 2) (1 points) Report standard error Standard error= 6. (Total 1 point) Refit the simple regression model using the same independent and dependent variables using EXCEL. [ Insert the Scatterplot of EXCEL output here (1 point) ] 7. (Total 4 points) Using the ANOVA table of EXCEL, test the hypothesis for the overall model. 1) Write the null and alternative hypothesis (1 point). HO: Ha: 2) Provide test statistic and corresponding p-value (1 point). Test statistic (Circle one): t-stat F-stat What is the test statistic? a 3) Test hypothesis at a = 0.05, then make a conclusion (2 points) What is the p-value? [Write conclusion here] 8. (Total 6 points) Using the coefficient table, test the hypothesis for the individual slope using (1) p- value approach and (2) confidence interval approach. 1) Write the null and alternative hypothesis (1 point). HO: t-stat F-stat Ha: 2) Provide test statistic (1 points), Test statistic (Circle one): What is the test statistic? 3) Test hypothesis at a = 0.05, (1) P-value approach (1 point) p-value = Decision evals evals Sourch Columns (BO) score rank Lethnicity gender Rows All rows 483 Selected 0 Excluded 0 Hidden 0 Labelfed 1 2 3 4 5 6 7 B 9 10 OOG score rank ethnicity gender 4.7 tenure track minority female 4.1 tenure track minority female 3.9 tenure track minority female 4.8 tenure track minority female 4.6 tenured not minority male 4.3 tonured not minority male 2.8 tenured not minority male 41 tenured not minority male 3.4 tenured not minority male 4.5 tenured not minority female age 36 36 36 36 59 59 59 51 51 40 89988 S&&&& cis students cls level bty avg 5 43 upper 125 upper 5 125 upper 5 123 upper 5 20 upper 3 40 upper 3 44 upper 3 55 upper 3333 195 upper 3.333 46 upper 3.167 -2 2. (Total 2 points) In this scenario, what are the independent and dependent variables? Define the independent and dependent variables to examine a relationship between factors affects average score Write your answer in the table below. Dependent Variable (y) Independent Variable (x) 3. (Total 5 points) Describe the relationship between the average beauty rating of professor and the average professor evaluation score using a scatter plot. Do these data provide convincing evidence that the slope of the relationship between teaching evaluation and beauty is positive? Create a scatter plot on JMP; Graph-Scatterplot Matrix, then click the red upside down triangle Fit line [ Insert the Scatterplot of JMP here (1 point) 1 [Describe the relationship here (4 points) 4. (Total 3 points) Fit the least squared regression model on JMP (please see the chapter 14 example) and write the estimated regression equation. Hint: Form of estimated regression equation: 9 = Bo + B. xx; Insert the Coefficient table of JMP here (1 point) [Write the estimated regression equation here (2 points) 1 5. (Total 3 points) Evaluate the model based on the determination of coefficient (R2) and standard error of the model 1) (2 points) Report R2, then interpret the R? R2 = Interpretation: 5. (Total 3 points) Evaluate the model based on the determination of coefficient (R2) and standard error of the model. 1) (2 points) Report R, then interpret the R2. R2 = Interpretation: 2) (1 points) Report standard error Standard error= 6. (Total 1 point) Refit the simple regression model using the same independent and dependent variables using EXCEL. [ Insert the Scatterplot of EXCEL output here (1 point) ] 7. (Total 4 points) Using the ANOVA table of EXCEL, test the hypothesis for the overall model. 1) Write the null and alternative hypothesis (1 point). HO: Ha: 2) Provide test statistic and corresponding p-value (1 point). Test statistic (Circle one): t-stat F-stat What is the test statistic? a 3) Test hypothesis at a = 0.05, then make a conclusion (2 points) What is the p-value? [Write conclusion here] 8. (Total 6 points) Using the coefficient table, test the hypothesis for the individual slope using (1) p- value approach and (2) confidence interval approach. 1) Write the null and alternative hypothesis (1 point). HO: t-stat F-stat Ha: 2) Provide test statistic (1 points), Test statistic (Circle one): What is the test statistic? 3) Test hypothesis at a = 0.05, (1) P-value approach (1 point) p-value = Decision

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