If r? value is positive, then the correlation coefficient can be positive or negative. TRUE FALSE

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.4: Scatter Plots And Line Of Fit
Problem 18PFA
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The strength of the linear relationship between two quantitative variables can be
measure by:
Correlation coefficient.
The proportion of explained variation in y explained by the regression model.
The slope of the regression model.
The intercept of the regression model.
Transcribed Image Text:The strength of the linear relationship between two quantitative variables can be measure by: Correlation coefficient. The proportion of explained variation in y explained by the regression model. The slope of the regression model. The intercept of the regression model.
If r? value is positive, then the correlation coefficient can be positive or negative.
TRUE
FALSE
Transcribed Image Text:If r? value is positive, then the correlation coefficient can be positive or negative. TRUE FALSE
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