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 C OD 100T 100T 200T 200T Opening Gross ($mil) Opening Gross ($mil) Trailer Views (mil) Trailer Views (mil) 200 200 0 100 0 100 Opening Gross ($mil) Opening Gross ($mil) Trailer Views (mil) Trailer Views (mil) b. Assuming a linear relationship, use the least-squares method to determine the regression coefficients bo and by . bo = - 1.12 by = 1.425 (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. O C. The approximate predicted opening weekend box office gross when the number of online trailer views is 0 is $ million. O D. For each increase in opening weekend box office gross of $1 million, the number of online trailer views is expected to increase by million.Trailer Views vs. Opening Weekend Gross line trailer Opening Weekend Opening Weekend Online Trailer Box Office Online Trailer Box Office Views (millions) Gross {$millions) Views (millions) Gross {$millions) I21 56.107 35.240 7.682 1.869 11.760 6.843 34.935 62.123 6.192 6.962 3.540 14.652 7.681 23.279 44.729 86.677 83.314 100.269 4.969 4.690 37.426 63.729 6.630 33.377 21.105 21.046 0.942 3.705 3.053 10.660 2.258 1.513 5.226 9.577 11.327 18.470 46.927 36.079 8.966 12.202 9.877 18.517 15.177 4.357 26.951 15.562 13.714 30.436 7.448 0.807 31.231 53.003 54.431 145.930 52.612 46.607 9.211 10.610 16.235 13.003 8.327 12.664 6.884 3.776 10.897 2.158 11.698 18.223 2.694 1.279 2.827 3.471 1.548 2.998 23.075 13.602 4.451 3.742 12.606 40.011 4.313 5.206 0.826 1.385 4.917 0.228 27.536 20.130 28.123 100.006 7.273 3.404 1.864 1.042 3.323 1.207 3.837 9.578 4.267 10.951 7.826 14.766 3.790 8.344 49.913 53.400 7.597 11.614 5.822 5.894 12.912 13.501 33.750 18.251 7.067 5.106 5.305 4.705 5.020 1.985 16.210 11.257 7.739 22.600 58.582 39.340 16.795 13.689 80.594 176.760 7.643 2.080