Residential real estate prices are thought to depend, in part, on property size and number of bedrooms.

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Residential real estate prices are thought to depend, in part, on property size and number of bedrooms. The house size X1 (in hundreds of square feet), number of bedrooms X2, and house price Y (in thousands of dollars) of a random sample of houses in a certain county were observed. The resulting data and some associated computer output were presented in Problem 10 of Chapter 8. Additional portions of the output ate shown here. Use all of the output to answer the following questions.
a. Perform the overall F test for the regression of Y on both independent variables. Interpret your result.
b. Perform variables-added-in-order tests for both independent variables, with X1 added first.
c. Perform variables-added-in-order tests for both independent variables, with X2 added first.
d. Provide a table of variables-added-last tests.
e. Which predictors appear to be necessary? Why?

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a H 0 1 2 0 vs H A 1 0 andor 2 0 in the model Y 0 1 X 1 2 X 2 E F 2003 df 2 4 P 00082 At 005 we woul...View the full answer

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Applied Regression Analysis and Other Multivariable Methods

ISBN: 978-1285051086

5th edition

Authors: David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg

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Question Posted: Dec 17, 2015 04:24 AM

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Residential real estate prices are thought to depend, in part, on property size and number of bedrooms.

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Y Regressed on X1 and X2 Type I SSs Source DF X1 X2 F ValuePr> F 40.06 0.0032 1.098464 0.0 0.9344 Mean Square 5732 222826 5732 222826 1.098464 Source X1 X2 FType III SSMean Square F Value Pr> F 1402.315337 1402.315337 9.80 0.0352 1.098464 1.098464 0.01 0.9344

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a H 0 1 2 0 vs H A 1 0 andor 2 0 in the model Y 0 1 X 1 2 X 2 E F 2003 df 2 4 P 00082 At 005 we woul...View the full answer

Applied Regression Analysis and Other Multivariable Methods

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