Introduction to Prediction (3 of 3)
Next section: Standard error of the estimate
When scores are standardized, the regression
slope (b) is equal to
Pearson's r and the Y intercept is 0 . This means
that the regression equation for standardized variables is:
Y' = rX.
Besides its use for prediction, the regression line is useful for
describing the relationship between the two variables. In particular, the slope
of the line reveals how much of a change in the criterion is associated with
a change of one unit on the predictor variable. For this example, a change
of one point on the Identical Blocks is associated with a change of just under
0.5 points on the Wonderlic.
Next section: Standard error of the estimate