DA0-002 Data Analysis Practice Question
A logistic regression model is used to predict the probability of customer churn. The model's coefficient for the feature 'customer support calls' is 0.8 with a p-value of 0.001. Which interpretation is 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
✓
For each additional support call, the log-odds of churn increase by 0.8, and this effect is statistically significant.
In logistic regression, a positive coefficient indicates that as the predictor increases, the log-odds of the outcome increase. The p-value being less than 0.05 indicates the effect is statistically significant.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
For each additional support call, the log-odds of churn increase by 0.8, and this effect is statistically significant.
Why this is correct
Correct interpretation of logistic regression coefficient.
- ✗
The odds of churn are multiplied by 0.8 for each additional call.
Why it's wrong here
The exponentiated coefficient gives odds ratio, not the coefficient itself.
- ✗
Support calls have no significant effect on churn.
Why it's wrong here
p-value is 0.001, so significant.
- ✗
For each additional support call, the probability of churn increases by 80%.
Why it's wrong here
Coefficient is in log-odds, not probability.
Go deeper
Related to this question
About these practice questions
This DA0-002 question is part of Courseiva's 986-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.