A box office analyst seeks to predict opening weekend box ofce 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 ofce gross (in millions of dollars) are collected and stored in the accompanying table. The least-squares regression equation for these data is Yi = 0.627 + 1.394Xi and the standard error of the estimate is SYx = 19.737. Assume that the straight-line model is appropriate and there are no serious violations the assumptions of the least-squares regression model. Complete parts (a) and (13) below. @ Click the icon to view the data on online trailer views and opening weekend box office gross. a. At the 0.10 level of significance, is there evidence of a linear relationship between online trailer views and opening weekend box office gross? Determine the hypotheses for the test. (Type integers or decimals. Do not round.) Compute the test statistic. The test statistic is tSTAT = (Round to two decimal places as needed.) Find the pvalue. The p-value is (Round to three decimal places as needed.) Reach a decision. V Ho- There is V evidence to conclude that there is a linear relationship between online trailer views and opening weekend box ofce gross. b. Construct a 90% condence interval estimate of the population slope, [31. The confidence interval is (Round to three decimal places as needed.)Opening Weekend Opening Weekend Online Trailer Box Office Gross Online Trailer Box Office Gross Views (millions) ($millions) Views (millions) ($millions) 58.921 33.112 3.931 4.137 11.950 7.971 32.803 61.025 10.921 3. 184 4.381 16.172 11.639 21.138 45.512 88.412 83.924 103.043 4.989 4.690 32.985 62.837 6.630 33.377 21.292 18.435 0.942 3.705 3.026 13.229 2.258 1.513 3.216 8.910 11.327 18.470 42.860 34.311 8.966 12.202 8.202 17.237 15.177 4.357 29.863 18.650 13.714 30.436 4.892 2.062 31.231 53.003 57.593 148.928 52.612 46.607 7.317 15.768 16.235 13.003 8.969 5.785 6.884 3.776 10.846 1.114 11.698 18.223 2.866 4.581 2.827 3.471 0.373 1.537 23.075 13.602 2.689 6.637 12.606 40.011 8.718 2.706 0.826 1.385 5.763 2.998 27.536 20.130 31.289 101.525 7.273 3.404 2.530 5.152 3.323 1.207 0.083 9.809 4.267 10.951 7.157 15.993 3.790 8.344 53.955 51.689 7.597 11.614 1.583 0.824 12.912 13.501