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mean square due to regression
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mean square due to regression

statistics
Also known as: MSR
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Quick Summary

In statistics, "mean square" refers to the average of the squares of a set of values. A specific application is the "mean square due to regression" (MSR), which is calculated by dividing the sum of squares due to regression (SSR) by its degrees of freedom. This value, along with the "mean square due to error" (MSE), is used in an F-test (MSR/MSE) to determine if the overall relationship between a dependent variable and independent variables in a regression model is statistically significant. Large F-test values suggest a significant relationship.12

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3 Britannica Sources
  1. statistics - Significance testing
  2. mean square
  3. mean square deviation

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