PSY 350 Lecture Notes - Lecture 51: Simple Linear Regression, Multivariate Statistics, Psy
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We can use that ssresidual to calculate the standard error of the estimate (the average distance between the actual and predicted values of y. *this tells us how good our regression line is. We want small errors, so a small se indicates that our regression model is doing a good job and a large se indicates that we should be concerned. Combine two (or more) predictors in a multiple regression analysis. Test the significance of a multiple regression model. Multiple regression is a regression analysis involving more than one predictor variable. You can do regression with multiple outcomes, but we"ll save that for graduate school. Any one predictor can only explainn so much. Many variables in psychology are correlated, at least to a small extent. Especially if we measured them at the same time with the same method. So if we just add up the results of separate regression analyses, the conclusions would be misleading.
