Show your work/thought process: a) Manually calculate the Sum of Squared Errors for this model. b) The coefficient on the “With Seagal” variable is 3.35. Explain what this means in simple language. c) Assume that Seagal will star in “The Expendables, Part 4”, and that pre-release audiences give the movie a Rotten Tomatoes rating of 52. Predict how much money the movie will earn.

ENGR.ECONOMIC ANALYSIS
14th Edition
ISBN:9780190931919
Author:NEWNAN
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Chapter1: Making Economics Decisions
Section: Chapter Questions
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Show your work/thought process:

a) Manually calculate the Sum of Squared Errors for this model.

b) The coefficient on the “With Seagal” variable is 3.35. Explain what this means in simple language.

c) Assume that Seagal will star in “The Expendables, Part 4”, and that pre-release audiences give the movie a Rotten Tomatoes rating of 52. Predict how much money the movie will earn.

Actor Steven Seagal has demanded an exorbitant salary to star in the movie, "The Expendables, Part 4".
One analyst thinks that the overall Rotten Tomatoes score of a movie determines its ultimate earnings.
Another analyst thinks that Seagal's presence alone will boost earnings, regardless of the quality of the
movie. To test both of these theories, the following data is collected for six action movies:
Earnings (millions)
55
10
72
66
14
22
SUMMARY OUTPUT
Rotten Tomatoes Rating
80
15
92
71
20
41
A multiple regression is performed and these are the results:
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
Intercept
Rotten Tomatoes Rating
With Seagal (1 = yes, 0 = no)
0.67
0.85
0.70
19.07
10.00
With Seagal (1 = yes, 0 = no)
0
0
1
1
0
1
Coefficients
4.23
0.80
3.35
Standard Error
7.41
0.14
8.32
Transcribed Image Text:Actor Steven Seagal has demanded an exorbitant salary to star in the movie, "The Expendables, Part 4". One analyst thinks that the overall Rotten Tomatoes score of a movie determines its ultimate earnings. Another analyst thinks that Seagal's presence alone will boost earnings, regardless of the quality of the movie. To test both of these theories, the following data is collected for six action movies: Earnings (millions) 55 10 72 66 14 22 SUMMARY OUTPUT Rotten Tomatoes Rating 80 15 92 71 20 41 A multiple regression is performed and these are the results: Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations Intercept Rotten Tomatoes Rating With Seagal (1 = yes, 0 = no) 0.67 0.85 0.70 19.07 10.00 With Seagal (1 = yes, 0 = no) 0 0 1 1 0 1 Coefficients 4.23 0.80 3.35 Standard Error 7.41 0.14 8.32
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