In analyzing your data, do you need to examine the relationship between categorical and continuous variables? It’s critically important to understand the difference between categorical and continuous variables in you data.

If we are working with only continuous variables, we might use linear regression.

If you wan to examine the relationship between categorical variables, you could look at the chi squared goodness of fit test.

ANOVA helps examine the relationship between categorical variables and continuous variables. There are two main types of ANOVA tests: One-way and two-way.

Recall that t-tests examine the difference of means between two groups. What if you have more groups? ANOVA can test means between several groups.

ANCOVA

Analysis of covariance (ANCOVA) better isolates the relationship between a single categorical variable of interest and the Y variable. By taking the covariate into account, the ANCOVA technique allows data professionals to draw more accurate conclusions about the relationships among variables.

Analysis of covariance (ANCOVA) better isolates the relationship between a single categorical variable of interest and the Y variable. By taking the covariate into account, the ANCOVA technique allows data professionals to draw more accurate conclusions about the relationships among variables.