Question: 9. (Total 7 points) Do these data meet the conditions required for fitting a least squares line? List the conditions required for linear regression and

 9. (Total 7 points) Do these data meet the conditions required
for fitting a least squares line? List the conditions required for linear

9. (Total 7 points) Do these data meet the conditions required for fitting a least squares line? List the conditions required for linear regression and check if each one is satisfied for this model based on the diagnostic plots (scatterplot, residual plot, and normal probability plot) of EXCEL [Insert the Graphs for the checking assumptions (I point) Check the assumptions using a table below (points)] Assumptions Is the assumption satisfied? Why? Justify your answer 10. (Total 5 points) Rewrite the estimated regression equation, then interpret both coefficients in the grven context 1) Rewrite the estimated regression equation 2) Interpret the slope (1) Write interpretation here (2 points) 3) Interpret the intercept(o) Write interpretation here (2 points) 4) Does the intercept make sense? Write your answer here (1 point) I 11. (Total 3 points) Using the estimated regression equation, please compute residuals of the first 10 obs. Hint: Use EXCEL to find 9 and residuals y Residual Obs 1 2 3 4 5 6 Score 4.7 4.1 3.9 4.8 46 43 ml olm BEN 5 5 5 5 3 3 alu 10. (Total 5 points) Rewrite the estimated regression equation, then interpret both coefficients in the given context i) Rewrite the estimated regression equation. 2) Interpret the slope (b) [Write interpretation here (2 points) 3) Interpret the intercept (oo) [Write interpretation here (2 points)] 4) Does the intercept make sense? [ Write your answer here (1 point)] 11. (Total 3 points Using the estimated regression equation, please compute residuals of the first 10 obs. Hint: Use EXCEL to find 9 and residuals. Residual Obs 1 2 3 4 S 6 Score 4.7 4.1 3.9 4.8 4.6 4.3 Bly. avg 5 S 5 5 3 3 -5- 7 2 N 100 loll 7 8 9 10 2.8 4.1 3.4 4.5 3 3,333 3.333 3.167 9. (Total 7 points) Do these data meet the conditions required for fitting a least squares line? List the conditions required for linear regression and check if each one is satisfied for this model based on the diagnostic plots (scatterplot, residual plot, and normal probability plot) of EXCEL [Insert the Graphs for the checking assumptions (I point) Check the assumptions using a table below (points)] Assumptions Is the assumption satisfied? Why? Justify your answer 10. (Total 5 points) Rewrite the estimated regression equation, then interpret both coefficients in the grven context 1) Rewrite the estimated regression equation 2) Interpret the slope (1) Write interpretation here (2 points) 3) Interpret the intercept(o) Write interpretation here (2 points) 4) Does the intercept make sense? Write your answer here (1 point) I 11. (Total 3 points) Using the estimated regression equation, please compute residuals of the first 10 obs. Hint: Use EXCEL to find 9 and residuals y Residual Obs 1 2 3 4 5 6 Score 4.7 4.1 3.9 4.8 46 43 ml olm BEN 5 5 5 5 3 3 alu 10. (Total 5 points) Rewrite the estimated regression equation, then interpret both coefficients in the given context i) Rewrite the estimated regression equation. 2) Interpret the slope (b) [Write interpretation here (2 points) 3) Interpret the intercept (oo) [Write interpretation here (2 points)] 4) Does the intercept make sense? [ Write your answer here (1 point)] 11. (Total 3 points Using the estimated regression equation, please compute residuals of the first 10 obs. Hint: Use EXCEL to find 9 and residuals. Residual Obs 1 2 3 4 S 6 Score 4.7 4.1 3.9 4.8 4.6 4.3 Bly. avg 5 S 5 5 3 3 -5- 7 2 N 100 loll 7 8 9 10 2.8 4.1 3.4 4.5 3 3,333 3.333 3.167

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