The root-mean-squared error (RMSE)is:
A) the proportion of the variation in the dependent variable that is explained by the regression.
B) the coefficient estimate divided by the standard error of the estimate.
C) an increasing function of the number of independent variables.
D) the square root of the coefficient of determination.
E) useful for constructing confidence intervals for estimates of the dependent variable.

Question

Quizplus · Accepted Answer

RMSE is a measure used to assess the differences between values predicted by a model and the values actually observed. It is useful for constructing confidence intervals for estimates of the dependent variable because it provides a measure of how spread out these residuals are. In other words, it tells you how concentrated the data is around the line of best fit.

The Root-Mean-Squared Error (RMSE)is