In a particular model, the sum of the squared residuals was 847. If the model had 5 independent variables, and the data set contained 40 points, the value of the standard error of the estimate is 24.911.

Question

Quizplus · Accepted Answer

The formula for the standard error of the estimate is:
SE = sqrt(SSres/(n-k-1))
where SSres is the sum of squared residuals, n is the number of data points, and k is the number of independent variables.

Plugging in the given values:
SE = sqrt(847/(40-5-1))
SE = 4.954

Therefore, the statement is false and the standard error of the estimate is not 24.911.

In a Particular Model, the Sum of the Squared Residuals