A regression line that is calculated by ordinary least squares will have an intercept and slope that minimize the sum of the squared differences between the observed value of the Y variable and the regression line.

Question

Quizplus · Accepted Answer

Ordinary Least Squares (OLS) regression calculates the intercept and slope of the regression line by minimizing the sum of the squared differences (residuals) between the observed values and the values predicted by the regression line.

A Regression Line That Is Calculated by Ordinary Least Squares