The following information summarizes the linear relationship between size (in square feet) and assessed value of homes in Ithaca, NY, based on a random sample of n = 18 homes. All homes sampled had areas between 1000 and 3500 square feet. You may take for granted that all requisite assumptions for this dataset are satisfied. Simple linear regression results: Price = 37131 + 11.89 Size Sample size: 18 R = 0.3219 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept Slope ??? ?? ??? ??? 4.285 ?? Calculate the test statistic necessary to test whether or not there is a statistically significant linear relationship between home size and price, accurate to two digits past the decimal point.
The following information summarizes the linear relationship between size (in square feet) and assessed value of homes in Ithaca, NY, based on a random sample of n = 18 homes. All homes sampled had areas between 1000 and 3500 square feet. You may take for granted that all requisite assumptions for this dataset are satisfied. Simple linear regression results: Price = 37131 + 11.89 Size Sample size: 18 R = 0.3219 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept Slope ??? ?? ??? ??? 4.285 ?? Calculate the test statistic necessary to test whether or not there is a statistically significant linear relationship between home size and price, accurate to two digits past the decimal point.
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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