Question
In: Statistics and Probability
#2) Use computer software packages, such as Excel, to solve this problem. Consider the following data...
#2) Use computer software packages, such as Excel, to solve this
problem.
Consider the following data for a dependent variable y and two
independent variables, x1 and x2.
|
x1 |
x2 |
y |
|
30 |
12 |
95 |
|
46 |
11 |
108 |
|
24 |
18 |
113 |
|
51 |
16 |
178 |
|
40 |
6 |
94 |
|
52 |
19 |
175 |
|
74 |
8 |
170 |
|
36 |
12 |
117 |
|
60 |
14 |
142 |
|
77 |
17 |
211 |
a) If you ran a multiple regression model using both independent variable what would the p-value of the overall model be? Round to 3 decimals. Is the overall model significant at the ? = 0.01 level?
b) What percent of the variation in y is explained by the model? Round to the nearest percent.
c) If you ran a multiple regression model using both independent variable what would the individual p-value of x1 be? Round to 3 decimals. Is x1 significantly adding to the overall model at the ? = 0.01 level?
d) If you ran a multiple regression model using both independent variable what would the individual p-value of x2 be? Round to 3 decimals. Is x2 significantly adding to the overall model at the ? = 0.01 level?
Solutions
orchestra answered 3 years agoRelated Solutions
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5.0
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5
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90
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Use computer software packages, such as Minitab or Excel, to solve this problem. The owner of...
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solve this problem.
The owner of Showtime Movie Theaters, Inc., would like to
predict weekly gross revenue as a function of advertising
expenditures. Historical data for a sample of eight weeks
follow.
Use computer software packages, such as Minitab or Excel, to
solve this problem.
The owner of Showtime Movie Theaters, Inc., would like to
predict weekly gross revenue as a function of advertising
expenditures. Historical data for a sample...
#1) Use computer software packages, such as Excel, to solve this problem. The owner of Showtime...
#1) Use computer software packages, such as Excel, to solve this
problem. The owner of Showtime Movie Theaters, Inc., would like to
predict weekly gross revenue as a function of advertising
expenditures.
Weekly Gross Revenue ($1,000s)
Television Advertising ($1,000s)
Newspaper Advertising ($1,000s)
105
5.0
1.5
90
2.0
2.0
95
4.0
1.5
92
2.5
2.5
93
3.0
3.3
94
3.5
2.3
94
2.5
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dbh
e
23.5
e
43.5
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6.6
e
11.5
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17.2
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31.5
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