Linear Regression Table Interpretation. The second table generated in a linear regression test in spss is model summary. Substituting the values for y intercept and slope we got from extending the regression line we can formulate the equation.
This page shows an example regression analysis with footnotes explaining the output. This refers to the difference between the actual response and the predicted response of the model. Understanding what the regression table isn t saying mind the distribution of the dependent variable.
There is no need to mention or interpret this table anywhere in the analysis.
This is the correlation coefficient. There are five symbols that easily confuse students in a regression table. It provides detail about the characteristics of the model. Here is how to interpret each of the numbers in this section.
