Linear Regression Table Interpretation. Determine whether your model meets the. As a refresher in linear regression you can use polynomial terms model curves in your data.
These data were collected on 200 high schools students and are scores on various tests including science math reading and social studies socst the variable female is a dichotomous variable coded 1 if the student was female and 0 if male. There are five symbols that easily confuse students in a regression table. The unstandardized beta b.
It provides detail about the characteristics of the model.
Mind the distribution of the independent variable. These data were collected on 200 high schools students and are scores on various tests including science math reading and social studies socst the variable female is a dichotomous variable coded 1 if the student was female and 0 if male. So for every point there will one actual response and one predicted response. It is important to keep in mind that we re still using linear regression to model curvature rather than nonlinear regression.