Data Assumption: Linearity

October 9, 2017

Very brief description: Linearity means that mean values of the outcome variable (dependent variable) for each increment of the predictors (independent variables) lie along a straight line (so we are modeling a straight relationship).    Who cares The assumption of linearity is required by all multivariate techniques based on correlation measures of association e.g. Regression, Logistics Regression, Factor Analysis, Structural Equation Modeling, Discriminant Analysis, General Linear Models, etc.    Why it is important Most, if not all of the tests of association / relationships that we [READ MORE]