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

Posted: Wed May 04, 2022 12:16 pm
by answerhappygod
A Box Office Analyst Seeks To Predict Opening Weekend Box Office Gross For Movies Toward This Goal The Analyst Plans T 1
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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 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. Click the icon to view the data on online trailer views and opening weekend box office gross. a. Construct a scatter plot. Choose the correct graph below. OA. B. O D. Q Q Q 5 Opening Gross (Smil) 200- 100 0 Trailer Views (mil) Trailer Views (mil) 100 04 0 200 Opening Gross (Smil) O C. Opening Gross (Smil) 200 100 Trailer Views (mil) Trailer Views (mil) 100- of 200 0 Opening Gross (Smil) 27
SITE b. Assuming a linear relationship, use the least-squares method to determine the regression coefficients by and b.. bo = b₁ = (Round the value of bo to two decimal places as needed. Round the value of b, to three decimal places as needed.) c. Interpret the meaning of the slope, b,, in this problem. Select the correct choice below and fill in the answer box to complete your choice. (Round to three decimal places as needed.) OA. The approximate online trailer views when the opening weekend box office gross is $0 is million OB. The approximate predicted opening weekend box office gross when the number of online trailer views is 0 is $ million. million OC. For each increase in opening weekend box office gross of $1 million, the number of online trailer views is expected to increase by OD. For each increase of 1 million online trailer views, the predicted opening weekend box office gross is expected to increase by $ million. d. Predict the mean opening weekend box office gross for a movie that had 66 million online trailer views. The predicted mean opening weekend box office gross will be $ million. (Round to two decimal places as needed.)
e. What insights can be obtained about predicting opening weekend box office gross from online trailer views? A. As the mean opening weekend box office increases, the number of online trailer views can be expected to increase. OB. As the number of online trailer views increases, the mean opening weekend box office gross can be expected to decrease. OC. There is no relationship between the number of online trailer views and the mean opening weekend box office gross. OD. As the mean opening weekend box office increases, the number of online trailer views can be expected to decrease. OE. As the number of online trailer views increases, the mean opening weekend box office gross can be expected to increase.
Trailer Views vs. Opening Weekend Gross Opening Weekend Box Office Gross Online Trailer Views (millions) Online Trailer Views (millions) ($millions) 57.928 30.319 5.494 10.907 2.471 36.435 8.758 7.724 3.870 10.700 25.698 42.809 86.642 101.823 4.989 32.235 63.209 6.630 18.787 20.621 0.942 3.146 11.450 2.258 5.858 3.381 11.327 44.723 39.005 8.966 8.134 17.971 15.177 27.049 12.877 13.714 4.205 1.170 31.231 59.424 145.299 52.612 5.727 16.039 16.235 8.810 6.247 6.884 11.849 0.996 11.698 0.062 8.199 2.827 1.549 0.844 23.075 8.355 3.300 12.606 7.480 0.799 0.826 5.923 0.760 27.536 32.123 96.681 7.273 0.907 6.866 3.323 0.717 A 201 4.267 Opening Weekend Box Office Gross ($millions) 1.056 59.703 13.642 90.158 4.690 33.377 3.705 1.513 18.470 12.202 4.357 30.436 53.003 46.607 13.003 3.776 18.223 3.471 13.602 40.011 1.385 20.130 3.404 1.207 10.951
0.907 0.717 10.007 50.451 4.536 32.532 6.643 11.514 59.140 79.968 6.866 8.294 12.610 46.337 5.328 21.002 8.176 10.257 37.034 171.820 3.323 4.267 3.790 7.597 12.912 7.067 5.020 7.739 16.795 7.643 1.207 10.951 8.344 11.614 13.501 5.106 1.985 22.800 13.689 2.080