In regression analysis, if r² = 1, then A)SSE = SST B)SSR = SST C)SSR = SSE D)SSE = 1 E)none of the above

Question

Quizplus · Accepted Answer

When $r^2 = 1$, it means there is a perfect linear relationship between the independent variable(s) and the dependent variable. This implies that all the variability in the dependent variable can be explained by the model, hence the Sum of Squares due to Regression (SSR) equals the Total Sum of Squares (SST), indicating no error (SSE = 0).

In Regression Analysis, If R2 = 1, Then

In Regression Analysis, If R² = 1, Then