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In regression ANOVA language, SSresidual is also called

In regression ANOVA language, SSresidual is also called

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SSresidual is also called the Residual sum of squares.

A residual sum of squares is a statistical technique used to measure the amount of variance in a data set that is not explained by a regression model.

Residual sum of squares also known as the sum of squared residuals essentially determines how well a regression model explains or represents the data in the model.

The answer is Residual sum of squares.

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