Categorical Dependent Variable. ANCOVA Analysis of Covariance Overview Analysis of covariance is used to test the main and interaction effects of categorical variables on a continuous dependent variable controlling for the effects of selected other continuous variables which co-vary with the dependent. Levels of two or more categorical variables.
Categorical variables can be further categorized as either nominal ordinal or dichotomous. Hover your mouse over the test name in the Test column to see its description. Categorical variables are also known as discrete or qualitative variables.
This variable is categorical and is in a way such that 1- very good levels of labour productivity 2- quite good 3-neither good nor bad 4- quite bad and 5-very bad.
Hover your mouse over the test name in the Test column to see its description. Levels of two or more categorical variables. Youve got apples and oranges there is no order in these. One way to represent a categorical variable is to code the categories 0 and 1 as follows.
