Regression sum of squares (RSS)


The RSS represents the amount of variance in the dependent variable that is explained by the independent variable. A higher RSS indicates a better fitting model, as it suggests that the independent variable is having a strong effect on the dependent variable. The RSS represents the explained source of variation in the ANOVA table.

The RSS is often used in conjunction with other measures, such as the sum of squared errors (SSE) and the total sum of squares (SST), to evaluate the performance of a simple linear regression model. It is an important tool for understanding the relationship between two variables and making predictions about future outcomes.

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