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Question Help 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. O A. O B. O c. O D. 200- 100- 1007 2007 Opening Gross ($mil) Opening Gross ($mil) Trailer Views (mil) Trailer Views (mil) 100 200 200 0 100 Trailer Views (mil) Opening Gross ($mil) Opening Gross (Smil) Trailer Views (mil) b. Assuming a linear relationship, use the least-squares method to determine the regression coefficients bo and by - bo = L (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, by, 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.) O A. For each increase of 1 million online trailer views, the predicted opening weekend box office gross is expected to increase by $ million. O B. The approximate online trailer views when the opening weekend box office gross is $0 is million. Click to select your answer(s). ?Question Help 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 c. Interpret the meaning of the slope, by , 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.) A. For each increase of 1 million online trailer views, the predicted opening weekend box office gross is expected to increase by $ million. B. The approximate online trailer views when the opening weekend box office gross is $0 is million. C. For each increase in opening weekend box office gross of $1 million, the number of online trailer views is expected to increase by million. O D. The approximate predicted opening weekend box office gross when the number of online trailer views is 0 is $ million. d. Predict the mean opening weekend box office gross for a movie that had 48 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? O A. As the number of online trailer views increases, the mean opening weekend box office gross can be expected to decrease. O B. As the mean opening weekend box office increases, the number of online trailer views can be expected to increase. O C. There is no relationship between the number of online trailer views and the mean opening weekend box office gross O D. As the mean opening weekend box office increases, the number of online trailer views can be expected to decrease O E. As the number of online trailer views increases, the mean opening weekend box office gross can be expected to increase. Click to select your answer(s).Opening Weekend Opening Weekend Online Trailer Box Office Gross Online Trailer Box Office Gross Views (millions) ($millions) Views (millions) ($millions) 50.224 34.251 3.246 5.921 8.020 8.785 36.213 60.520 8.615 0.307 1.830 14.827 9.206 22.087 45.316 20.246 84.791 106.621 4.089 4.690 36.553 62.909 6.630 33.377 23.097 19.278 0.042 3.705 6.353 10.633 2.258 1.513 4.798 7.546 11.327 18.470 42.703 32.097 8.066 12.202 5.043 16.612 15.177 4.357 26.818 11.601 13.714 30.436 1.849 0.838 31.231 53.003 50.774 146.871 52.612 46.607 7.338 14.600 18.235 13.003 12.242 5.812 6.884 3.776 11.795 0.233 11.898 18.223 1.345 3.288 2.827 3.471 1.763 1.754 23.075 13.602 6.630 5.337 12.606 40.011 6.143 7.402 D.826 1.385 7.231 1.818 27.536 20.130 33.485 05.431 7.273 3.404 1.346 0.423 3.323 1.207 1.743 9.534 4.267 10.951 8.926 9.043 3.790 8.344 51.158 48.301 7.597 11.614 6.495 3.080 12.912 13.501 30.513 21.018 7.067 5.106 6.422 8.200 5.020 1.985 13.024 13.120 7.730 22.800 57.326 38.890 18.795 13.689 81.931 176.201 7.643 2.080
