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Chapter 12: Q. 22 (page 764)

What is the correlation between the selling price and appraised value?

(a) 0.1126

(c) -0.861

(e) -0.928

(b) 0.861

(d) 0.928

Short Answer

Expert verified

(d) 0.928

Step by step solution

01

Given Information

Need to find the correlation between the selling price and appraised value.

02

Explanation

The square of the correlation r2is given in the output as "R-Sq":

localid="1650543763447" r2=86.1%=0.861

The slope of the least-squares regression line is 1.0466, which is positive, and then we know that the linear correlation coefficient r is also positive.

The linear correlation coefficient r is then the positive square root of r2:

localid="1650543785368" r=r2=0.861≈0.928

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Most popular questions from this chapter

6. Beer and BAC Refer to Exercise 4. Computer output from the least-squares regression analysis on the beer and blood alcohol data is shown below.


The model for regression inference has three parameters:α,βandσExplain what each parameter represents in context. Then provide an estimate for each.

Which of the following sampling plans for estimating the proportion of all adults in a medium-sized town who favor a tax increase to support the local school system does not suffer from undercoverage bias?

(a) A random sample of 250names from the local phone book

(b) A random sample of 200parents whose children attend one of the local schools

(c) A sample consisting of 500people from the city who take an online survey about the issue

(d) A random sample of 300homeowners in the town

(e) A random sample of 100people from an alphabetical list of all adults who live in the town

Random assignment is part of a well-designed comparative experiment because

(a) It is more fair to the subjects.

(b) It helps create roughly equivalent groups before treatments are imposed on the subjects.

(c) It allows researchers to generalize the results of their experiment to a larger population.

(d) It helps eliminate any possibility of bias in the experiment.

(e) It prevents the placebo effect from occurring

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The model for regression inference has three parameters: α,βand σ. Explain what each parameter represents in context. Then provide an estimate for each.

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