Quiz #4

In a linear regression, SST is the total sum of squares, SSE is the explained sum of squares, and SSR is the residual sum of squares. Which of the following is correct? a. SSR=SST+SSE b. SSR=SST-SSE

b., SSR=SST-SSE

True or false: In an ordinary least squares regression, the regression line goes through the mean of y and x, i.e. x-bar and y-bar.

true

True or false: In a simple linear regression, R-squared = 0.002. This means that there is a strong linear relationship between x and y.

false

True or false: In a simple linear regression, a high R-square value suggests a strong causal relationship.

false