Fit model

Fit model describes the relationship between a response variable and one or more predictor variables.

There are many different models that you can fit including simple linear regression, multiple linear regression, analysis of variance (ANOVA), analysis of covariance (ANCOVA), and binary logistic regression.

• Linear fit
  A linear model describes the relationship between a continuous response variable and one or more explanatory variables using a linear function.
• Logistic / Probit fit
  A model that describes the relationship between a categorical response variable and one or more explanatory variables using a logit or probit function.