SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression...

  

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SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Income Time Spent Days until Xmas 0.88012 0.77461 0.77190 56.6927 253 df 3 249 252 Coefficients Standard Error 70.2382 5.4585 0.9409 SS MS 2750450.3598 916816.787 800301.8665 3214.0637 3550752.226 -0.8828 15.8338 0.2485 0.3612 0.03629 t Stat 4.4360 21.9696 2.6048 -24.3298 F 285.2516 P-value 0.000014 0.000 0.009745 0.000 Significance F 0.000 Lower 95% 39.053 4.9692 0.2295 -0.9543 Upper 95% 101.4234 5.9479 1.6523 -0.8114 D D Question 40 What percentage of the variation in Total Order Amount is explained by Income. Time Spent, and Days Until Christmas? IMPORTANT: Enter your answer rounded to 2 decimal places Question 41 What is the average error we would make when using this estimated regression equation to predict Total Order Amount? IMPORTANT: Round your answer to 2 decimal places 1 pts 1 pts SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Income Time Spent Days until Xmas 0.88012 0.77461 0.77190 56.6927 253 df 3 249 252 Coefficients Standard Error 70.2382 5.4585 0.9409 SS MS 2750450.3598 916816.787 800301.8665 3214.0637 3550752.226 -0.8828 15.8338 0.2485 0.3612 0.03629 t Stat 4.4360 21.9696 2.6048 -24.3298 F 285.2516 P-value 0.000014 0.000 0.009745 0.000 Significance F 0.000 Lower 95% 39.053 4.9692 0.2295 -0.9543 Upper 95% 101.4234 5.9479 1.6523 -0.8114 D D Question 40 What percentage of the variation in Total Order Amount is explained by Income. Time Spent, and Days Until Christmas? IMPORTANT: Enter your answer rounded to 2 decimal places Question 41 What is the average error we would make when using this estimated regression equation to predict Total Order Amount? IMPORTANT: Round your answer to 2 decimal places 1 pts 1 pts SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Income Time Spent Days until Xmas 0.88012 0.77461 0.77190 56.6927 253 df 3 249 252 Coefficients Standard Error 70.2382 5.4585 0.9409 SS MS 2750450.3598 916816.787 800301.8665 3214.0637 3550752.226 -0.8828 15.8338 0.2485 0.3612 0.03629 t Stat 4.4360 21.9696 2.6048 -24.3298 F 285.2516 P-value 0.000014 0.000 0.009745 0.000 Significance F 0.000 Lower 95% 39.053 4.9692 0.2295 -0.9543 Upper 95% 101.4234 5.9479 1.6523 -0.8114 D D Question 40 What percentage of the variation in Total Order Amount is explained by Income. Time Spent, and Days Until Christmas? IMPORTANT: Enter your answer rounded to 2 decimal places Question 41 What is the average error we would make when using this estimated regression equation to predict Total Order Amount? IMPORTANT: Round your answer to 2 decimal places 1 pts 1 pts SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Income Time Spent Days until Xmas 0.88012 0.77461 0.77190 56.6927 253 df 3 249 252 Coefficients Standard Error 70.2382 5.4585 0.9409 SS MS 2750450.3598 916816.787 800301.8665 3214.0637 3550752.226 -0.8828 15.8338 0.2485 0.3612 0.03629 t Stat 4.4360 21.9696 2.6048 -24.3298 F 285.2516 P-value 0.000014 0.000 0.009745 0.000 Significance F 0.000 Lower 95% 39.053 4.9692 0.2295 -0.9543 Upper 95% 101.4234 5.9479 1.6523 -0.8114 D D Question 40 What percentage of the variation in Total Order Amount is explained by Income. Time Spent, and Days Until Christmas? IMPORTANT: Enter your answer rounded to 2 decimal places Question 41 What is the average error we would make when using this estimated regression equation to predict Total Order Amount? IMPORTANT: Round your answer to 2 decimal places 1 pts 1 pts

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