The data types of all independent variables in logistic regression must be numeric.

• A. Binary
• B. Categorical
• C. Text
• D. Numeric

Answer: (D)

Logistic regression builds its prediction as a weighted sum of the input features, then applies a logistic function to map that sum to a probability. To form that weighted sum, each independent variable must be numeric so it can be multiplied by its coefficient and added together. If a variable is categorical or text, it can’t be used directly in this math; you must first convert it to numeric form (for categories, through dummy/one-hot encoding; for text, via vectorization). Binary values already come as 0/1, so they are numeric and fit directly. That’s why numeric is the correct requirement.