DA0-002 Data Analysis Practice Question
An analyst is performing a logistic regression to predict customer churn (yes/no). The model outputs a probability of 0.75 for a particular customer. Which of the following best describes the interpretation?
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
✓
There is a 75% chance that the customer will churn
Logistic regression outputs the probability that the event (churn) occurs, given the input features.
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 predicts that the customer will not churn
Why it's wrong here
A probability of 0.75 > 0.5 typically predicts churn.
- ✓
There is a 75% chance that the customer will churn
Why this is correct
Correct interpretation of logistic regression output.
- ✗
The customer will definitely churn because the probability is above 0.5
Why it's wrong here
Probability is not a certainty; it's a likelihood.
- ✗
The odds of churning are 0.75 to 1
Why it's wrong here
Odds would be p/(1-p)=3, not 0.75.
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