The differences between the regression line and the observed values are known as ___________________.
A) residual sum of squares
B) total sum of squares
C) line of best fit
D) residuals

Question

Quizplus · Accepted Answer

The differences between the regression line and the observed values are called residuals. Residual sum of squares (RSS) is the sum of the squared residuals, which is used to evaluate the goodness of fit of a regression model. Total sum of squares (TSS) is the total variation in the dependent variable, and it is used to calculate R-squared, which measures the proportion of the variation in the dependent variable that is explained by the independent variable(s). The line of best fit is another term for the regression line, which is the line that minimizes the sum of the squared residuals. Therefore, the best choice for this question is D, residuals.

The Differences Between the Regression Line and the Observed Values