Using the accompanying Concert Sales data on sales dollars and the number of radio, TV, and newspaper ads promoting the concerts for a group of cities. Develop simple linear regression models for predicting sales as a function of the number of each type of ad. Compare these results to a multiple linear regression model using both independent variables. State the model and explain R-square, Significance F, and p-values, with an alpha of 0.05. LOADING... Click the icon to view the Concert Sales data. Question content area bottom Part 1 State the hypotheses for the simple linear regression tests. H0: ▼ H1: ▼ beta 1 equals beta 2 equals times times times equals beta Subscript k Baseline equals 0β1=β2=•••=βk=0 beta 1 equals 0β1=0 beta 1 not equals 0β1≠0 at least one beta Subscript j Baseline is not 0 Sales ($1000) Thousands of radio and TV ads Thousands of newspaper ads 1090 0 39 1001 0 39 863 26 26 626 25 24 933 31 32 973 30 31 960 35 37 1228 36 36 850 38 24 957 39 26 1556 47 43 1540 47 43 1073 53 50 902 53 52 1337 57 20 1332 56 20 1459 57 29 1460 59 32 1506 64 37 1728 62 37 1942 67 40 1657 69 40
Using the accompanying Concert Sales data on sales dollars and the number of radio, TV, and newspaper ads promoting the concerts for a group of cities. Develop simple linear regression models for predicting sales as a function of the number of each type of ad. Compare these results to a multiple linear regression model using both independent variables. State the model and explain R-square, Significance F, and p-values, with an alpha of 0.05. LOADING... Click the icon to view the Concert Sales data. Question content area bottom Part 1 State the hypotheses for the simple linear regression tests. H0: ▼ H1: ▼ beta 1 equals beta 2 equals times times times equals beta Subscript k Baseline equals 0β1=β2=•••=βk=0 beta 1 equals 0β1=0 beta 1 not equals 0β1≠0 at least one beta Subscript j Baseline is not 0 Sales ($1000) Thousands of radio and TV ads Thousands of newspaper ads 1090 0 39 1001 0 39 863 26 26 626 25 24 933 31 32 973 30 31 960 35 37 1228 36 36 850 38 24 957 39 26 1556 47 43 1540 47 43 1073 53 50 902 53 52 1337 57 20 1332 56 20 1459 57 29 1460 59 32 1506 64 37 1728 62 37 1942 67 40 1657 69 40
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
Using the accompanying Concert Sales data on sales dollars and the number of radio, TV, and newspaper ads promoting the concerts for a group of cities. Develop simple linear regression models for predicting sales as a function of the number of each type of ad. Compare these results to a multiple linear regression model using both independent variables. State the model and explain R-square, Significance F, and p-values, with an alpha of
0.05.
LOADING...
Question content area bottom
Part 1
State the hypotheses for the simple linear regression tests.
H0:
▼
H1:
▼
beta 1 equals beta 2 equals times times times equals beta Subscript k Baseline equals 0β1=β2=•••=βk=0
beta 1 equals 0β1=0
beta 1 not equals 0β1≠0
at least one beta Subscript j Baseline is not 0
Sales ($1000) Thousands of radio and TV ads Thousands of newspaper ads
1090 0 39
1001 0 39
863 26 26
626 25 24
933 31 32
973 30 31
960 35 37
1228 36 36
850 38 24
957 39 26
1556 47 43
1540 47 43
1073 53 50
902 53 52
1337 57 20
1332 56 20
1459 57 29
1460 59 32
1506 64 37
1728 62 37
1942 67 40
1657 69 40
1090 0 39
1001 0 39
863 26 26
626 25 24
933 31 32
973 30 31
960 35 37
1228 36 36
850 38 24
957 39 26
1556 47 43
1540 47 43
1073 53 50
902 53 52
1337 57 20
1332 56 20
1459 57 29
1460 59 32
1506 64 37
1728 62 37
1942 67 40
1657 69 40
Expert Solution
Step 1
Given,
Using the accompanying Concert Sales data on sales dollars and the number of radio, TV, and newspaper ads promoting the concerts for a group of cities
Data:
Sales | Thousands of radio and TV ads | Thousands of newspaper ads |
1090 | 0 | 39 |
1001 | 0 | 39 |
863 | 26 | 26 |
626 | 25 | 24 |
933 | 31 | 32 |
973 | 30 | 31 |
960 | 35 | 37 |
1228 | 36 | 36 |
850 | 38 | 24 |
957 | 39 | 26 |
1556 | 47 | 43 |
1540 | 47 | 43 |
1073 | 53 | 50 |
902 | 53 | 52 |
1337 | 57 | 20 |
1332 | 56 | 20 |
1459 | 57 | 29 |
1460 | 59 | 32 |
1506 | 64 | 37 |
1728 | 62 | 37 |
1942 | 67 | 40 |
1657 | 69 | 40 |
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