Which regression technique is suitable for predicting binary outcomes? Linear regression Logistic regression Polynomial regression None of above

Break Down the Problem

1. Identify the type of outcomes being predicted.
2. Evaluate each regression technique in relation to binary outcomes.

Relevant Concepts

1. Linear Regression: Suitable for continuous outcomes, not binary.
2. Logistic Regression: Specifically designed for binary outcomes, utilizing a logistic function to model the probability that a given input point belongs to a certain category.
3. Polynomial Regression: A form of linear regression but can increase complexity without accommodating binary outcomes effectively.

Analysis and Detail

• Linear Regression predicts continuous outcomes and assumes a linear relationship which is not applicable for binary classification.
• Logistic Regression is perfect for binary outcomes as it estimates the probability that a dependent variable belongs to a particular category, outputting values between 0 and 1.
• Polynomial Regression is an extension of linear regression allowing for curved relationships, but it does not change the characteristic suitability for binary outcomes.

Verify and Summarize

Logistic regression directly addresses the binary nature of the outcome variable, making it the most appropriate choice among the options provided.

Final Answer

The suitable regression technique for predicting binary outcomes is Logistic Regression.