Question: . 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
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. 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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