True or false: Linear regression is a categorical data mining model.

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Multiple Choice

True or false: Linear regression is a categorical data mining model.

Explanation:
Linear regression predicts a continuous numeric value by modeling a linear relationship between features and the target. Categorical data mining models assign observations to distinct categories or class labels. If the outcome is a category, you’d use a classifier (for example, logistic regression for binary classes), not linear regression. Encoding categories as numbers for a linear regression target can create meaningless distances and unreliable predictions. So the statement is false.

Linear regression predicts a continuous numeric value by modeling a linear relationship between features and the target. Categorical data mining models assign observations to distinct categories or class labels. If the outcome is a category, you’d use a classifier (for example, logistic regression for binary classes), not linear regression. Encoding categories as numbers for a linear regression target can create meaningless distances and unreliable predictions. So the statement is false.

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