Beside the model, the other input into a regression ... at least locally linear, and several modeling tricks help to transform the most commonly-encountered nonlinear relationships into linear ...
The standard linear regression ... of the first variable, rather than being a constant, is a function of the other variable. This is called an interaction between the explanatory variables. A simple ...
where Y is the response, or dependent, variable, the Xs represent the p explanatory variables ... you estimate the parameters in the following multiple linear regression equation: ...
The CATMOD procedure provides maximum likelihood estimation for logistic regression ... covariance matrix with weighted least squares. With the CATMOD procedure, by default, all explanatory ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results