Question

In: Statistics and Probability

A box office analyst seeks to predict opening weekend box office gross for movies. Toward this​...

A box office analyst seeks to predict opening weekend box office gross for movies. Toward this​ goal, the analyst plans to use online trailer views as a predictor. For each of the 66 ​movies, the number of online trailer views from the release of the trailer through the Saturday before a movie opens and the opening weekend box office gross​ (in millions of​ dollars) are collected and stored in the accompanying table. A linear regression was performed on these​ data, and the result is the linear regression equation: Yi=-0.843+1.4100Xi Complete parts​ (a) through​ (d).

a. Determine the coefficient of​ determination,r squared​, and interpret its meaning.

r squared= _______​(Round to three decimal places as​ needed.)

Interpret the meaning of r squared.

The value of r squared indicates that ____% of the variation in _____ (online trailer reviews or box office gross) can be explained by the variation in______(online trailer reviews. or box office gross.) ​(Round to one decimal place as​ needed.)

b. Determine the standard error of the estimate.

Syx=_______ ​(Round to two decimal places as​ needed.)

c. How useful do you think this regression model is for predicting opening weekend box office​ gross?

A. It is not useful for predicting box office gross because the coefficient of determination is close to 0.

B. It is not useful for predicting box office gross because the coefficient of determination is close to 1.

C.It is very useful for predicting box office gross because the coefficient of determination is very close to 1.

D.It is somewhat useful for predicting box office gross because the coefficient of determination is closer to 1 than it is to 0.

d. Can you think of other variables that might explain the variation in opening weekend box office​ gross? Select all that apply.

A.The amount spent on advertising might explain the variation in opening weekend box office​ gross, because viewers are probably more likely to watch a movie that has been advertised heavily.

B.The timing of the release of the movie might explain the variation in opening weekend box office​ gross, because a movie released at the same time as multiple other major movies may get crowded out.

C.The type of movie might explain the variation in opening weekend box office​ gross, since some genres are more heavily attended than others.

Data Table

Online Trailer Views (millions)    Opening Weekend Box Office Gross ($millions)
60.353 33.402
12.595 7.514
11.673 5.285
8.69 22.957
85.963 103.634
34.641 65.484
20.074 19.111
7.751 12.278
2.601 3.466
47.792 35.408
8.737 19.85
27.256 14.924
5.355 1.113
57.884 148.476
5.655 10.251
11.71 9.522
9.723 1.346
2.511 4.388
1.008 1.872
5.259 7.37
7.221 5.622
8.849 1.686
32.008 95.005
0.391 4.822
2.932 14.858
10 13.592
52.747 49.905
4.299 3.257
28.31 22.168
6.516 5.009
13.781 15.777
58.961 42.714
77.439 176.85
7.021 4.09
33.808 63.369
2.898 15.706
41.91 86.158
4.989 4.69
6.63 33.377
0.942 3.705
2.258 1.513
11.327 18.47
8.966 12.202
15.177 4.357
13.714 30.436
31.231 53.003
52.612 46.607
16.235 13.003
6.884 3.776
11.698 18.223
2.827 3.471
23.075 13.602
12.606 40.011
0.826 1.385
27.536 20.13
7.273 3.404
3.323 1.207
4.267 10.951
3.79 8.344
7.597 11.614
12.912 13.501
7.067 5.106
5.02 1.985
7.739 22.8
16.795 13.689
7.643 2.08

Solutions

Expert Solution

Solution:

We can use the excel regression data analysis tool to find the answers to the given questions. The excel output is given below:

a. Determine the coefficient of​ determination,r squared​, and interpret its meaning.

r squared= 0.663

Interpret the meaning of r squared.

The value of r squared indicates that 66.3% of the variation in box office gross can be explained by the variation in online trailer reviews.

b. Determine the standard error of the estimate.

Syx=19.66 ​(Round to two decimal places as​ needed.)

c. How useful do you think this regression model is for predicting opening weekend box office​ gross?

Answer: D. It is somewhat useful for predicting box office gross because the coefficient of determination is closer to 1 than it is to 0.

d. Can you think of other variables that might explain the variation in opening weekend box office​ gross? Select all that apply.

Answer:

A. The amount spent on advertising might explain the variation in opening weekend box office​ gross, because viewers are probably more likely to watch a movie that has been advertised heavily.

B. The timing of the release of the movie might explain the variation in opening weekend box office​ gross, because a movie released at the same time as multiple other major movies may get crowded out.


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