Statistics: Informed Decisions Using Data (4th Edition)

Published by Pearson
ISBN 10: 0321757270
ISBN 13: 978-0-32175-727-2

Chapter 14 - Review - Case Study - Housing Boom - Page 733: b

Answer

$ŷ=-122.1+210.8x_1-60.4x_2+10.2x_3+0.1611x_4+0.789x_5+23.6x_6$

Work Step by Step

In MINITAB, enter the Acres values in C1, the Bedrooms values in C2, the Bathrooms values in C3, the Sq. ft. values in C4, the Age values in C5, the Rooms values in C6 and the Price values in C7. Select Stats -> Regression -> Regression -> Fit Regression Model Enter C7 in "Responses" and C1 C2 C3 C4 C5 C6 in "Continuous Predictors" The least-squares regression line will be shown in "Regression Equation", where C7 is $ŷ$ (Price), C1 is $x_1$ (Acres), C2 is $x_2$ (Bedrooms), C3 is $x_3$ (Batrooms), C4 is $x_4$ (Sq. ft.), C5 is $x_5$ (Age) and $x_6$ (Rooms). $ŷ=-122.1+210.8x_1-60.4x_2+10.2x_3+0.1611x_4+0.789x_5+23.6x_6$
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