Multiple Linear Regression Sas Output Interpretation. You perform a multiple linear regression analysis when you have more than one explanatory variable for consideration in your model. Complete the following steps to interpret a regression analysis.
The model fitness statistics eg. In statistics regression is a technique that can be used to analyze the relationship between predictor variables and a response variable. Sas will create 0 1 dummy variables for each category of prog and will enter all of them into the regression see section important.
Where y is the response or dependent variable the x s represent the p explanatory variables and the b s are the regression coefficients.
Aic sc 2log l c concordant pairs and the like are identical b. 1 1 a first regression analysis 1 2 examining data 1 3 simple linear regression 1 4 multiple regression 1 5 transforming variables 1 6 summary 1 7 for more information. The analysis uses a data file about scores obtained by elementary schools predicting api00 from ell meals yr rnd mobility acs k3 acs 46 full emer and enroll using the following. This page shows an example regression analysis with footnotes explaining the output.
