Statistics: Informed Decisions Using Data (4th Edition)

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

Chapter 14 - Section 14.3 - Assess Your Understanding - Applying the Concepts - Page 723: 26a

Answer

$ŷ=-92.28+1.2575x_1+1.0987x_2$

Work Step by Step

In MINITAB, enter the air temperature values in C1, the dew point values in C2 and the heat index values in C3. Select Stats -> Regression -> Regression -> Fit Regression Model Enter C3 in "Responses" and C1 C2 in "Continuous Predictors" The least-squares regression line will be shown in "Regression Equation", where C3 is $ŷ$ (heat index), C1 is $x_1$ (air temperature) and C2 is $x_2$ (dew point). $ŷ=-92.28+1.2575x_1+1.0987x_2$
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