Sas Linear Regression Output. Here variable1 and variable2 are dependent and independent variables respectively. Using the output delivery system tree level 4.
An overview of collinearity in regression. Collinearity sometimes called multicollinearity involves only the explanatory variables. Linear regression is used to identify the relationship between a dependent variable and one or more independent variables.
Collinearity sometimes called multicollinearity involves only the explanatory variables.
Equivalently there a set of explanatory variables that is linearly dependent in the sense of linear algebra. Below we will use a class dataset from the sas help library. 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. Regression with sas annotated sas output for simple regression analysis this page shows an example simple regression analysis with footnotes explaining the output.
