Which of the following statements about simple linear regression is TRUE? If the scatterplot showing y vs. x has a nonlinear pattern, then the correlation coefficient will be very close to 1. If the correlation coefficient is positive, then there is a positive linear relationship between the explanatory variable and the response variable. If the population slope is greater than 1, there must be a negative linear relationship between the explanatory variable and the response variable. We can test whether the assumption of constant variance is satisfied by examining a QQ plot.
Which of the following statements about simple linear regression is TRUE? If the scatterplot showing y vs. x has a nonlinear pattern, then the correlation coefficient will be very close to 1. If the correlation coefficient is positive, then there is a positive linear relationship between the explanatory variable and the response variable. If the population slope is greater than 1, there must be a negative linear relationship between the explanatory variable and the response variable. We can test whether the assumption of constant variance is satisfied by examining a QQ plot.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
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Transcribed Image Text:Which of the following statements about simple linear regression is TRUE?
If the scatterplot showing y vs. x has a nonlinear pattern, then the correlation coefficient will be very
close to 1.
If the correlation coefficient is positive, then there is a positive linear relationship between the
explanatory variable and the response variable.
If the population slope is greater than 1, there must be a negative linear relationship between the
explanatory variable and the response variable.
We can test whether the assumption of constant variance is satisfied by examining a QQ plot.
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