The strength of the relationship between two quantitative variables can be measured by:
A)The slope of a simple linear regression equation
B)The Y intercept of the simple linear regression equation
C)The sample correlation coefficient
D)The coefficient of determination
E)Both the sample correlation coefficient and the coefficient of determination.

Question

Quizplus · Accepted Answer

The strength of the relationship between two quantitative variables is best measured by both the sample correlation coefficient and the coefficient of determination. The sample correlation coefficient provides a measure of the direction and strength of the linear relationship, while the coefficient of determination provides a measure of the proportion of the variability in the dependent variable that can be explained by the independent variable(s). Together, these two measures provide a comprehensive understanding of the relationship between the variables. The slope and Y intercept of a simple linear regression equation are important components in determining the strength of the relationship, but they alone do not provide a complete picture.

The Strength of the Relationship Between Two Quantitative Variables Can