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 9090 total observations. Estimated Price=20,160.07+2188.83(Bedrooms)+0.2139(Lot Size)Estimated Price=20,160.07+2188.83(Bedrooms)+0.2139(Lot Size) ANOVA dfdfSSSSMSMSF�Significance F�Regression22306,443.7975306,443.7975153,221.8988153,221.898821.727421.72742.2211E-082.2211E-08Residual8787613,525.5190613,525.51907052.01757052.0175 Total8989919,969.3165919,969.3165 What percent of variation in housing prices is explained by the number of bedrooms and lot size? Round your answer to two decimal places

The objective of this question is to determine the percentage of variation in housing prices that…

Answered: Consider the following ANOVA table for…

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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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 9090 total observations.

Estimated Price=20,160.07+2188.83(Bedrooms)+0.2139(Lot Size)Estimated Price=20,160.07+2188.83(Bedrooms)+0.2139(Lot Size)

ANOVA

	dfdf	SSSS	MSMS	F�	Significance F�
Regression	22	306,443.7975306,443.7975	153,221.8988153,221.8988	21.727421.7274	2.2211E-082.2211E-08
Residual	8787	613,525.5190613,525.5190	7052.01757052.0175
Total	8989	919,969.3165919,969.3165