1. Which of the following statements concerning correlation and regression is true: If the correlation between x and y is negative, then the slope of the regression line that predicts y from x will be negative. O If the correlation between x and y equals 0.7, then 70 percent of the variability in the y-variable is explained by the regression. If the correlation between x and y is high, then it is always appropriate to use regression to predict y from x. O If the correlation between x and y is negative, then it is never appropriate to use regression to predict y from X.
1. Which of the following statements concerning correlation and regression is true: If the correlation between x and y is negative, then the slope of the regression line that predicts y from x will be negative. O If the correlation between x and y equals 0.7, then 70 percent of the variability in the y-variable is explained by the regression. If the correlation between x and y is high, then it is always appropriate to use regression to predict y from x. O If the correlation between x and y is negative, then it is never appropriate to use regression to predict y from X.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:1.
Which of the following statements concerning correlation and regression is true:
O If the correlation between x and y is negative, then the slope of the regression line that predicts y from x will
be negative.
If the correlation between x and y equals 0.7, then 70 percent of the variability in the y-variable is explained
by the regression.
If the correlation between x and y is high, then it is always appropriate to use regression to predict y from x.
If the correlation between x and y is negative, then it is never appropriate to use regression to predict y from
X.
2.
Consider a linear regression in which we predict a person's weight from their height. Which of the
following is true of a person whose residual is negative:
The person is heavier than average for their height.
The person is lighter than average for their height.
The person has about average weight for their height.
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