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 Yi=−1.213+1.417Xiand the standard error of the estimate is SYX=19.599. 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. 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. b. Construct a 95% confidence interval estimate of the population slope, β1. c. Construct a 99% confidence interval estimate of the population slope, β1.
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 Yi=−1.213+1.417Xiand the standard error of the estimate is SYX=19.599. 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. 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. b. Construct a 95% confidence interval estimate of the population slope, β1. c. Construct a 99% confidence interval estimate of the population slope, β1.
College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter8: Sequences, Series, And Probability
Section8.CR: Chapter Review
Problem 37E: Find the positive geometric mean between 4 and 64.
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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 Yi=−1.213+1.417Xiand the standard error of the estimate is SYX=19.599. 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. 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.
b. Construct a 95% confidence interval estimate of the population slope,
β1.
c. Construct a 99% confidence interval estimate of the population slope,
β1.
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