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Please find C AutoSave OFF O COD _ RO MAP ? C ... data-11_22_2022-10_26 PM Home Insert Draw Page Layout Formulas >> Tell me mylab.pearson.com/Student/PlayerHomework.as...

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AutoSave OFF O COD _ RO MAP ? C ... data-11_22_2022-10_26 PM Home Insert Draw Page Layout Formulas >> Tell me mylab.pearson.com/Student/PlayerHomework.as... Share Comments Update Conditional Formatting Maps Spinning@ Digital | CrunchTime! Infor.. Course Home Dashboard Format as Table Clipboard Font Alignment Number Cell Styles v Cells Editing Analyze Data 15 X V C HW Score: Online Trailer Views (millions) Opening Weekend Box Office Gross ($millions) 6.63 33.377 Chapter Question 20, 26.42%, 5.28 of 20 56.534 29.271 0.942 3.705 13.8.63-T 10.004 9.924 2.258 Problems points 1.513 Part 3 of 3 Points: 0.25 of Save 13.026 0.867 11.327 18.47 8.013 27.24 8.966 12.202 32.913 101.915 15.177 4.357 32.085 62.788 13.714 30.436 A box office analyst seeks to predict opening weekend box office gross for movies. 22.978 7.057 31.231 53.003 Toward this goal, the analyst plans to use online trailer views as a predictor. For 5.138 9.732 52.612 46.607 4.327 7.652 6.235 13.003 each of the 66 movies, the number of online trailer views from the release of the 34.07 5.884 3.776 trailer through the Saturday before a movie opens and the opening weekend box 14.966 office gross (in millions of dollars) are collected and stored in the accompanying 7.189 9.761 11.698 18.223 table. The simple linear regression equation for these data is 30.772 13.966 2.827 3.471 5.619 1.39 23.075 13.602 Y, = - 0.862 + 1.397X . A movie, about to be released, has 55 million online trailer 58.117 147.976 12.606 40.011 views. Complete parts (a) through (c) below. 9.849 15.184 0.826 1.385 20.13 Click the icon to view the data on online trailer views and opening weekend 1.118 5.282 27.536 12.99 2.114 7.273 3.404 box office gross. 1.595 6.103 3.323 1.207 0.303 0.097 1.267 10.951 3.779 6.547 3.79 8.344 7.551 2.438 7.597 11.614 estimating a mean value, the prediction interval for an individual 9.8 4.642 12.912 13.501 98.134 7.067 response is more useful. 0.409 5.106 0.607 1.483 5.02 1.985 C. Since the value of the mean is known, the confidence interval 10.157 22.8 2.5 7.739 6.263 10.714 16.795 13.689 estimate of the mean is more useful. 54.635 48.002 .643 2.08 D. Since there is more variation in estimating a mean value than in 1.533 5.919 predicting an individual value, the confidence interval is more useful. 33.164 16.682 8.084 3.733 c. Construct a 95% interval of the type selected in (b) when a movie has 55 14.571 12.971 million online trailer views. 56.528 42.687 80.66 171.797 $ million s YX = 55 S$ million 5.788 0.903 33.223 63.874 (Round to three decimal places as needed.) 2.289 19.156 42.191 92.316 4.69 4 989 Clear all Check answer 100% Select destinatio

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