That may mean that a person who did poorly on Test 1 scored better than expected on Test 2. 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.