The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. For a random sample of 31 Cadets, each bought "new" two years ago and each sold "used" within the past month, the least-squares regression equation relating the two variables mileage, x (in thousands), and used selling price, y (in thousands of dollars), was y = 38.73 – 0.54x. The standard error of the slope of this least-squares regression line was approximately 0.34. Based on this information, test for a significant linear relationship between the two variables by doing a hypothesis test regarding the population slope B,. (Assume that the variable y follows a normal distribution for each value of x and that the other regression assumptions are satisfied.) Use the 0.05 level of significance, and perform a two-tailed test. Then complete the parts below.
The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. For a random sample of 31 Cadets, each bought "new" two years ago and each sold "used" within the past month, the least-squares regression equation relating the two variables mileage, x (in thousands), and used selling price, y (in thousands of dollars), was y = 38.73 – 0.54x. The standard error of the slope of this least-squares regression line was approximately 0.34. Based on this information, test for a significant linear relationship between the two variables by doing a hypothesis test regarding the population slope B,. (Assume that the variable y follows a normal distribution for each value of x and that the other regression assumptions are satisfied.) Use the 0.05 level of significance, and perform a two-tailed test. Then complete the parts below.
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
Section: Chapter Questions
Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...
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