Question

Sequel Budget 160 Hype 33 23 Minutes 148 92 103 112 15 96 110 107 150 60 30 200 200 140 116 Ratings 8.8 7.2 4.4 7.5 6.6 6.6 5
A simpler model. In the multiple regression analysis using all four explanatory variables, Theaters and Budget appear to be the least helpful (given that the other two explanatory variables are in the model).

  1. (a) Perform a new analysis using only the movie’s opening-weekend revenue and IMDb rating. Give the estimated regression equation for this analysis.

  2. (b) What percent of the variability in USRevenue is explained by this model?

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Answer #1

(a) Perform a new analysis using only the movie’s opening-weekend revenue and IMDb rating. Give the estimated regression equation for this analysis.

Opening Ratings
6279 88
1773 72
1635 44
1061 75
1581 66
3781 66
6524 58
7520 80
5640 77
1901 63
0.194
r   0.440
Std. Error   11.839
n   10
k   1
Dep. Var. Ratings
ANOVA table
Source SS   df   MS F p-value
Regression 269.70 1   269.6969 1.92 .2028
Residual 1,121.20 8   140.1504
Total 1,390.90 9  
Regression output confidence interval
variables coefficients std. error    t (df=8) p-value 95% lower 95% upper
Intercept 60.5986
Opening 0.0022 0.0016 1.387 .2028 -0.0015 0.0059

The estimated regression equation is:

Ratings = 60.5986 + 0.0022*Opening

(b) What percent of the variability in USRevenue is explained by this model?

19.4%

Please give me a thumbs-up if this helps you out. Thank you!

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