The LSE estimates β 0 and β 1 by minimizing the residual sum of squares (sum of squared errors), SSE = ∑(y i – ŷ i) 2, where ŷ i = m(x i) = b 0 + b 1 x i are the points on the estimated ...

How Do You Interpret the R-Squared of a Linear Regression? R 2 ( R-squared ) is a statistical measure of the goodness of fit of a linear regression model (from 0.00 to 1.00), also known as the ...

So far in our discussion of linear regression, we have seen that the estimated regression coefficients and predicted values can be difficult to interpret 1.When the predictors are correlated 2 ...