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DA0-002 Data Analysis Practice Question

A logistic regression model predicts customer churn (0=no churn, 1=churn). The model outputs probabilities. Which THREE of the following statements about logistic regression are correct?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

The model output is a probability between 0 and 1.

Logistic regression outputs probabilities; it uses the logistic function (sigmoid) to map linear combination to [0,1]. The coefficients represent log-odds changes. R² is for linear regression; pseudo-R² is used but not standard R².

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • The model output is a probability between 0 and 1.

    Why this is correct

    Correct: The sigmoid function ensures output in [0,1].

  • The coefficient of determination R² is used to assess model fit.

    Why it's wrong here

    R² is for linear regression; logistic regression uses pseudo-R² or other metrics.

  • The coefficients represent the change in log-odds for a one-unit change in the predictor.

    Why this is correct

    Correct: Coefficients are log-odds ratios.

  • Logistic regression is used for binary classification.

    Why this is correct

    Correct: Logistic regression models binary outcomes.

  • The model uses the linear regression equation y = mx + b directly.

    Why it's wrong here

    Logistic regression uses a logistic transformation; linear equation is for the log-odds.

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