Linear Regression Model Table. This matlab function returns a table with component anova statistics. In statistics regression is a technique that can be used to analyze the relationship between predictor variables and a response variable.
Linear regressions are contingent upon having normally distributed interval level data. Y 0 01x 2 48. Y β 0 β 1 x 1 β 2 x 2 β p xp where.
It specifies the variables entered or removed from the model based on the method used for variable selection.
When the response variable is in the first column of tbl define its location. Then after running the linear regression test 4 main tables will emerge in spss. You can define the response variable in the model using either. Before starting sample data is loaded and sample models are fitted.
