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. A box office analyst seeks to predict opening weekend box office gross for movies. Toward this goal, the analyst plans to use online trailer

. 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

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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. Complete parts (a) through (e) below.

D. Predict the mean opening weekend box office gross for a movie that had 47 million online trailer views. The predicted mean opening weekend box office gross will be ________ million. enter your response here

(Round to two decimal places as needed.)

E. What insights can be obtained about predicting opening weekend box office gross from online trailer views?The slope,

b1,

of the regression equation represents the change in the mean opening weekend box office gross as the number of online trailer views changes. The variable X represents the number of online trailer views. Use this information to interpret the regression equation in the context of the exercise.

Online Trailer Views (millions) Opening Weekend Box Office Gross ($millions)
59.914 33.831
10.381 9.049
11.164 2.198
10.953 19.98
82.367 103.836
33.314 59.553
22.759 15.494
2.868 7.765
6.832 7.442
47.976 34.375
7.907 21.142
28.367 15.74
4.074 3.067
58.791 147.444
8.19 10.165
11.275 6.497
10.666 0.615
0.08 4.559
1.179 4.867
7.146 5.367
4.971 2.388
9.143 3.608
31.408 95.598
0.052 6.779
3.94 13.614
9.837 15.532
53.464 53.063
6.057 0.234
33.006 21.293
8.312 6.685
15.607 9.477
57.858 43.19
78.003 177.314
5.389 4.822
35.458 63.146
3.2 12.795
44.238 92.026
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

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