a) State the null and alternative hypothesis in this global test for linear model utility. b) Give the p-value and your conclusion. c) Conduct t-tests on each of the beta parameters. What is your conclusion in each case? d) What percentage of the variation in the price is explained by these independent variables? Based on this, is a multiple linear regression model a good model for these data? Explain. e) Give the point estimate for the price of a 44 year old single family home in Beavercreek, OH with 1704 square feet of living space, 3 bedrooms, and 2.5 bathrooms.
a) State the null and alternative hypothesis in this global test for linear model utility. b) Give the p-value and your conclusion. c) Conduct t-tests on each of the beta parameters. What is your conclusion in each case? d) What percentage of the variation in the price is explained by these independent variables? Based on this, is a multiple linear regression model a good model for these data? Explain. e) Give the point estimate for the price of a 44 year old single family home in Beavercreek, OH with 1704 square feet of living space, 3 bedrooms, and 2.5 bathrooms.
Algebra and Trigonometry (MindTap Course List)
4th Edition
ISBN:9781305071742
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
Section1.FOM: Focus On Modeling: Fitting Lines To Data
Problem 7P
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