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
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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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
 
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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