Categorical Independent Variable. Next lets move on to categorical independent variables. A one-way analysis of variance ANOVA is used when you have a categorical independent variable with two or more categories and a normally distributed interval dependent variable and you wish to test for differences in the means of the dependent variable broken down by the levels of the independent variable.
Categorical variables can be further categorized as either nominal ordinal or dichotomous. Subjects in the first group cannot also be in the second group. There is no order to the categories that a variable can be assigned to.
Categorical variables are also known as discrete or qualitative variables.
A one-way analysis of variance ANOVA is used when you have a categorical independent variable with two or more categories and a normally distributed interval dependent variable and you wish to test for differences in the means of the dependent variable broken down by the levels of the independent variable. However the estimates are missing X1Happy. Categorical variables are also known as discrete or qualitative variables. Categorical variables can be further categorized as either nominal ordinal or dichotomous.
