In order to incorporate the marital status variable into a multiple regression model, there are four possible categories for this variable: married, single, divorced, or widow. Based on this information, four indictor variables will need to be created (one for each category) and incorporated into the regression model.

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In regression analysis, when incorporating a categorical variable with $k$ categories, $k-1$ indicator (dummy) variables are created to avoid multicollinearity and the dummy variable trap. Therefore, for marital status with four categories, only three indicator variables are needed, with one category serving as the reference group.

In Order to Incorporate the Marital Status Variable into a Multiple