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 + +
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question

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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