Regression model sum of squared deviations / regression sum of squares (SSR) [explained variation]

The regression sum of squares (SSR) or explained variation is the sum of squared differences between the predicted values and the mean value of the response. It is a measure of how well the model fits the data and can be interpreted as the strength of the linear relationship between the independent and dependent variables.