BASIC PRACTICE OF STATS-LL W/SAPLINGPLU
BASIC PRACTICE OF STATS-LL W/SAPLINGPLU
8th Edition
ISBN: 9781319216245
Author: Moore
Publisher: MAC HIGHER
Question
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Chapter 26, Problem 26.16CYS
To determine

The equation of the least-squares regression line for predicting selling price from appraised value.

Expert Solution & Answer
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Answer to Problem 26.16CYS

Correct answer:

Option (a) price=100.2+1.2186×appraised value .

Explanation of Solution

Reason for the correct answer:

From the given MINITAB output, the value of the slope (b) is 1.2186, and the value of the intercept (a) is 100.2. Hence, the equation of the least-squares regression line for predicting the selling price from the appraised value is price=100.2+1.2186×appraised value .

Reason for the incorrect answers:

Option (b) and option (c) are incorrect because from the given MINITAB output, the value of the slope (b) is 1.2186 and the value of the intercept (a) is 100.2.

Conclusion:

Therefore, the correct option is (a).

Statistics Concept Introduction

Introduction:

The formula for regression equation is derived as follows:

y^=a+bx

Where, the slope is denoted as b, (which interprets the amount by which y changes, when x increases by a unit), and the intercept is denoted as a (which interprets the value of y, when x=0 ).

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