Asked by Greenlee Shipman on May 31, 2024
Verified
The standard error of the estimate is the
A) standard deviation of t.
B) square root of SSE.
C) square root of SST.
D) square root of MSE.
Standard Error
A measure of the accuracy of predictions made with a statistical model, specifically it quantifies the variability of the sampling distribution of a statistic.
Square Root
A mathematical function that provides the original value when it is multiplied by itself.
Standard Deviation
The positive square root of the variance.
- Grasp the calculation and interpretation of the standard error of the estimate in regression analysis.
Verified Answer
ME
Morgan EllisJun 06, 2024
Final Answer :
D
Explanation :
The standard error of the estimate (SEE) is defined as the square root of the mean squared error (MSE), which is the sum of squared residuals divided by the degrees of freedom. It is used to estimate the average distance that the observed values fall from the fitted regression line, and is a measure of the accuracy of the regression equation. Therefore, the correct answer is D, square root of MSE.
Learning Objectives
- Grasp the calculation and interpretation of the standard error of the estimate in regression analysis.