The root-mean-square error is a measure of
A) sample size.
B) moving average periods.
C) exponential smoothing.
D) forecast accuracy.

Question

Quizplus · Accepted Answer

The root-mean-square error (RMSE) is a measure used to assess the differences between values predicted by a model or an estimator and the values observed. It is commonly used to evaluate the accuracy of a forecast or prediction, making it a measure of forecast accuracy.

The Root-Mean-Square Error Is a Measure of