Regression Simple linear regression tells us whether using a linear model is a better fit of the data than just using the mean. Let's say we wanted to determine if the mean score of the first two tests would be a good predictor of how people will do on the fourth test. Unusual Observations Obs. Fit Residual St. X R denotes an obs.
X denotes an obs.
First we are given the regression equation. Then there is a section that contains t-ratios and p values for the variables in the equation. However, if we had a multiple regression with more than one independent variable, this section becomes important. The t value would then be the effect of adding an additional variable given that all the other variables are in the model. The analysis of variance table tells us the significance of the regression model.