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Question 4. Regression Analysis: Weekly Gross Revenue ($1000s) versus Televison Advertising ($1000s), Newspaper Advertising ($1000s). Interpret the results and conclude for the movie theater. You can read the case from the book. Regression Equation Weekly Gross Revenue ($1000s) Coefficients 83.23 2.290 Ielevison Advertising ($1000s) +1.301 Newspaper Advertising ($1000s) Term Coef SE Coef T-Value P-Value VIF Constant 83.23 1.57 52.88 0.000 Televison Advertising ($1000s) 2.290 0.304 7.53 0.001 1.45 Newspaper Advertising ($1000s) 1.301 0.321 4.06 0.010 1.45 Model Summary SR-sq R-sq(adj) R-sq(pred) 0.642587 91.90% 88.66% 68. 19% Analysis of Variance Source Regression Televison Advertising ($1000s) Newspaper Advertising ($1000s) Error Total DF Adj SS Adj MS F-Value P-Value 2 23.435 11.7177 28.38 0.002 1 23.425 23.4247 56.73 0.001 1 6. 795 6. 7953 16.46 0.010 5 2.065 0.4129 7 25.500 + +

Question 4. Regression Analysis: Weekly Gross Revenue ($1000s) versus Televison Advertising ($1000s), Newspaper Advertising ($1000s). Interpret the results and conclude for the movie theater. You can read the case from the book. Regression Equation Weekly Gross Revenue ($1000s) Coefficients 83.23 2.290 Ielevison Advertising ($1000s) +1.301 Newspaper Advertising ($1000s) Term Coef SE Coef T-Value P-Value VIF Constant 83.23 1.57 52.88 0.000 Televison Advertising ($1000s) 2.290 0.304 7.53 0.001 1.45 Newspaper Advertising ($1000s) 1.301 0.321 4.06 0.010 1.45 Model Summary SR-sq R-sq(adj) R-sq(pred) 0.642587 91.90% 88.66% 68. 19% Analysis of Variance Source Regression Televison Advertising ($1000s) Newspaper Advertising ($1000s) Error Total DF Adj SS Adj MS F-Value P-Value 2 23.435 11.7177 28.38 0.002 1 23.425 23.4247 56.73 0.001 1 6. 795 6. 7953 16.46 0.010 5 2.065 0.4129 7 25.500 + +

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 1CYU
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Question 4. Regression Analysis: Weekly Gross Revenue ($1000s) versus Televison Advertising ($1000s), Newspaper Advertising ($1000s). Interpret the results and conclude for the movie theater. You can read the case from the book. Regression Equation Weekly Gross Revenue ($1000s) 83.23 2.290 Televison Advertising ($1000s) + 1.301 Newspaper Advertising ($1000s). Coefficients Term Coef SE Coef T-Value P-Value VIF Constant 83.23 1.57 52.88 0.000 7.53 0.001 1.45 Televison Advertising ($1000s) 2.290 Newspaper Advertising ($1000s) 1.301 4.06 0.010 1.45 Model Summary S R-sq R-sq(adj) R-sq(pred) 68. 19% 0.642587 91.90% 88.66% Analysis of Variance + Source Regression Televison Advertising ($1000s) Newspaper Advertising ($1000s) Error Total 0.304 0.321 DF Adj SS Adj MS F-Value P-Value 2 23.435 11.7177 28.38 1 23.425 23.4247 56.73 1 6. 795 6.7953 16.46 5 2.065 0.4129 7 25.500 + 0.002 0.001 0.010 + K
Transcribed Image Text:Question 4. Regression Analysis: Weekly Gross Revenue ($1000s) versus Televison Advertising ($1000s), Newspaper Advertising ($1000s). Interpret the results and conclude for the movie theater. You can read the case from the book. Regression Equation Weekly Gross Revenue ($1000s) 83.23 2.290 Televison Advertising ($1000s) + 1.301 Newspaper Advertising ($1000s). Coefficients Term Coef SE Coef T-Value P-Value VIF Constant 83.23 1.57 52.88 0.000 7.53 0.001 1.45 Televison Advertising ($1000s) 2.290 Newspaper Advertising ($1000s) 1.301 4.06 0.010 1.45 Model Summary S R-sq R-sq(adj) R-sq(pred) 68. 19% 0.642587 91.90% 88.66% Analysis of Variance + Source Regression Televison Advertising ($1000s) Newspaper Advertising ($1000s) Error Total 0.304 0.321 DF Adj SS Adj MS F-Value P-Value 2 23.435 11.7177 28.38 1 23.425 23.4247 56.73 1 6. 795 6.7953 16.46 5 2.065 0.4129 7 25.500 + 0.002 0.001 0.010 + K
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