Business Statistics: A First Course (8th Edition)
Business Statistics: A First Course (8th Edition)
8th Edition
ISBN: 9780135177785
Author: David M. Levine, Kathryn A. Szabat, David F. Stephan
Publisher: PEARSON
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A FiveThirtyEight.com article reports that “Horror movies get nowhere near as much draw at the box office as the big-time summer blockbusters or action/adventure movies ... but there’s a huge incentive for studios to continue pushing them out. The return-on-investment potential for horror movies is absurd.” To investigate how the return-on-investment compares between genres and how this relationship has changed over time, an introductory statistics student fit a model predicting the ratio of gross revenue of movies from genre and release year for 1,070 movies released between 2000 and 2018. Using the plots given below, determine if this regression model is appropriate for these data
Discuss two extensions to the original GARCH (p,q) model and explain additional characteristics of financial data they might be able to capture.
Pursuing an MBA is a major personal investment. Tuition and expenses associated with business school programs are​ costly, but the high costs come with hopes of career advancement and high salaries. A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program​ per-year tuition as a predictor of starting salary. Data were collected for 37 ​full-time MBA programs offered at private universities. The data are stored in the accompanying table. b. Assuming a linear​ relationship, use the​ least-squares method to determine the regression coefficients b0 and b1. ​(Round the value of b0 to the nearest integer as needed. Round the value of b1 to two decimal places as​ needed.) c. Interpret the meaning of the​ slope, b1​, in this problem. Select the correct choice below and fill in the answer box to complete your choice. (Round to the nearest dollar as​ needed.)
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