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?
⚠ Common exam trap
DA0-002 often tests the confusion between probability and odds, and between probabilistic and deterministic predictions, causing candidates to misinterpret the output of logistic regression.
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
In logistic regression, the model outputs a probability between 0 and 1 that the positive class (churn = yes) occurs. A value of 0.75 means the model estimates a 75% probability that the customer will churn, given the input features. This is a probabilistic prediction, not a deterministic one, and it does not mean the customer will definitely churn.
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 predicted probability of 0.75 indicates the model leans toward churn, since it exceeds 0.5; predicting non-churn corresponds to probabilities below the threshold. This interpretation would fit a model output of, say, 0.25, where the negative class is favoured.
- ✓
There is a 75% chance that the customer will churn
Why this is correct
Logistic regression outputs a calibrated probability of the positive class, so 0.75 means a 75% estimated likelihood of churn for that customer. This satisfies the stem's interpretation requirement, distinguishing probabilistic output from a deterministic classification decision.
- ✗
The customer will definitely churn because the probability is above 0.5
Why it's wrong here
A probability of 0.75 expresses 75% likelihood, not certainty; logistic regression yields a probabilistic classification, so the customer may still not churn. Threshold-based hard classification suits decision rules after choosing a cutoff, but the output itself remains a probability, not a definite outcome.
- ✗
The odds of churning are 0.75 to 1
Why it's wrong here
Logistic regression outputs a probability, not odds; 0.75 means a 75% chance of churn, whereas odds of 0.75 to 1 correspond to a probability of roughly 0.43. Odds are the correct interpretation only when the model reports odds ratios or log-odds converted explicitly.
Go deeper
Related to this question
About these practice questions
One of 1,004 original DA0-002 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official CompTIA exam blueprint
This DA0-002 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-002 exam.