Question

The F-value to test the overall significance of a regression model is computed by dividing the sum of squares regression (SSreg) by the sum of squares error (SSerr).

t/f

Answer 1

The F-value to test the overall significance of a regression model is obtained by dividing the sum of squares regression (SSreg) by the sum of squares error (SSerr).

Step-by-step explanation:

The F-value to test the overall significance of a regression model is computed by dividing the sum of squares regression (SSreg) by the sum of squares error (SSerr).

First, calculate the F ratio by dividing the SSreg value by the SSerr value.

For example, if the SSreg is 344.16 and the SSerr is 1219.55, then the F ratio would be 0.282 (344.16 / 1219.55 = 0.282).