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Which of the following statements is true with respect to a simple linear regression model? a....

Which of the following statements is true with respect to a simple linear regression model?

a. The regression slope coefficient is the square of the correlation coefficient

b. It is possible that the correlation between a y and x variable might be statistically significant, but the regression slope coefficient could be determined to be zero since they measure different things

c. The percentage of variation in the dependent variable that is explained by the independent variable can be determined by squaring the correlation coefficient

d. The standard error of the estimate is equal to the standard error of the slope

math   Statistics-And-Probability   
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Answer #1

Ans:

Option c is correct.

The percentage of variation in the dependent variable that is explained by the independent variable can be determined by squaring the correlation coefficient

Coefficient of determination=R^2

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