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The Mean Squared Error is a measure of the average of the squares of the residuals
29. The Mean Squared Error is a measure of the average of the squares of the residuals.
- True
- False
Answer: A) True
Explanation:
The degree of inaccuracy in statistical models is measured by the mean squared error (MSE). The average squared difference between observed and expected values is calculated. The MSE equals zero when a model has no errors. Its value rises as the model inaccuracy rises. The mean squared deviation is another name for the mean squared deviation (MSD). The average squared residual is represented by the mean squared error in regression.