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 24.912.

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Quizplus · Accepted Answer

The formula for the standard error of the estimate (SE) is SE = sqrt(SSE/(n-k-1)), where SSE is the sum of the squared residuals, n is the number of data points, and k is the number of independent variables. Plugging in the given values, we get SE = sqrt(847/(40-5-1)) = 24.912, which matches the given value. Therefore, the answer is true. The standard error of the estimate (SE) can be calculated using the formula SE = sqrt(SSE/(n-k)), where SSE is the sum of squared errors, n is the sample size, and k is the number of independent variables. Plugging in the given values, SE = sqrt(847/(40-5)) = 24.912. Therefore, the statement is true.

In a Particular Model, the Sum of the Squared Residuals