a. Use e = .01 to test the hypotheses for the model y = Po + P1 + Pa2 +4 nhere: Hg: - - 0 Hgi B: and/or 0 Compute the F test statistic (to 2 decimals). 56.34 O What is the prvalue? Less than .01 What is your conclusion? The overall model is significant b. Use a-.05 to test the significance of B. Compute the t test statistic (to 2 decimals). 10.56 3 What is the p-value? Less than 01 What is your conclusion? Significant relationship between television advertising and revenue Should be dropped from the model? No. x1 should not be dropped from the model vO c. Use a= .05 to test the significance of 82. Compute the t test statistic (to 2 decimals). 5.29 8 What is the p-value? Less than 01 What is your conclusion? Significant relationship between newspaper advertising and revenue Should z be dropped from the model? No. 2 should not be dropped from the model vO d. The owner plans to spend (in $1000s) $5 on television advertising and $3.8 on nevspaper advertising. What is the expected revenue (in s1000s) for this advertising combination (to the nearest whole number)?

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Trying to find the answers for A through D. This was all the information that was given.

a. Use a = .01 to test the hypotheses for the model y = Bo + Bix1 + Bzxz + E, where:
Ho: B1 = B2 = 0
H: B1 and/or B2 #0
Compute the F test statistic (to 2 decimals).
56.34 K
What is the p-value?
Less than .01
What is your conclusion?
The overall model is significant
b. Use a = .05 to test the significance of B1. Compute the t test statistic (to 2 decimals).
10.56
What is the p-value?
Less than .01
What is your conclusion?
Significant relationship between television advertising and revenue
Should x1 be dropped from the model?
No, x1 should not be dropped from the model
c. Use a = .05 to test the significance of B2. Compute the t test statistic (to 2 decimals).
5.29 8
What is the p-value?
Less than .01
What is your conclusion?
Significant relationship between newspaper advertising and revenue
Should xz be dropped from the model?
No, x2 should not be dropped from the model vO
d. The owner plans to spend (in $1000s) $5 on television advertising and $3.8 on nevspaper advertising. What is the expected revenue (in $1000s) for this advertising combination (to the nearest whole number)?
Transcribed Image Text:a. Use a = .01 to test the hypotheses for the model y = Bo + Bix1 + Bzxz + E, where: Ho: B1 = B2 = 0 H: B1 and/or B2 #0 Compute the F test statistic (to 2 decimals). 56.34 K What is the p-value? Less than .01 What is your conclusion? The overall model is significant b. Use a = .05 to test the significance of B1. Compute the t test statistic (to 2 decimals). 10.56 What is the p-value? Less than .01 What is your conclusion? Significant relationship between television advertising and revenue Should x1 be dropped from the model? No, x1 should not be dropped from the model c. Use a = .05 to test the significance of B2. Compute the t test statistic (to 2 decimals). 5.29 8 What is the p-value? Less than .01 What is your conclusion? Significant relationship between newspaper advertising and revenue Should xz be dropped from the model? No, x2 should not be dropped from the model vO d. The owner plans to spend (in $1000s) $5 on television advertising and $3.8 on nevspaper advertising. What is the expected revenue (in $1000s) for this advertising combination (to the nearest whole number)?
Television
Weekly Gross
Revenue (1000s)
Advertising
($1000s)
Newspaper
Advertising
(S1000s)
96
1.5
91
2
3
95
5
1.5
92
25
2.5
96
4
3.3
94
3.5
2.3
95
25
4.2
94
2.5
2 Predicted Revenue
5
3.8
5
6
7
332
123 tn67
Transcribed Image Text:Television Weekly Gross Revenue (1000s) Advertising ($1000s) Newspaper Advertising (S1000s) 96 1.5 91 2 3 95 5 1.5 92 25 2.5 96 4 3.3 94 3.5 2.3 95 25 4.2 94 2.5 2 Predicted Revenue 5 3.8 5 6 7 332 123 tn67
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