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. The least-squares regression equation for these data is Y = -1.119+1.412X, and the standard error of the estimate is Syx 19.897. 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 (b) below. Click the icon to view the data on online trailer views and opening weekend box office gross. a. At the 0.05 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. Ho H: (Type integers or decimals. Do not round.) Compute the test statistic. The test statistic is ISTAT = (Round to two decimal places as needed.) Find the p-value. The p-value is (Round to three decimal places as needed.)