Consider the following ANOVA table for a multiple regression model relating housing prices (in thousands of dollars) to the number of bedrooms in the house and the size of the lot on which the house was built (in square feet). There were 87 total observations. Estimated Price = 21,763.23 + 2967.68 (Bedrooms) +0.2003 (Lot Size) df SS Regression 2 343,952.4330 Residual 84 631,304.4390 Total 86 975,256.8720 ANOVA MS 171,976.2165 7515.5290 F Significance F 22.8828 1.1669E-08 What percent of variation in housing prices is explained by the number of bedrooms and lot size? Round your answer to two decimal places.
Consider the following ANOVA table for a multiple regression model relating housing prices (in thousands of dollars) to the number of bedrooms in the house and the size of the lot on which the house was built (in square feet). There were 87 total observations. Estimated Price = 21,763.23 + 2967.68 (Bedrooms) +0.2003 (Lot Size) df SS Regression 2 343,952.4330 Residual 84 631,304.4390 Total 86 975,256.8720 ANOVA MS 171,976.2165 7515.5290 F Significance F 22.8828 1.1669E-08 What percent of variation in housing prices is explained by the number of bedrooms and lot size? Round your answer to two decimal places.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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