DA0-002 Data Analysis Practice Question
In a logistic regression model predicting customer churn (1 = churn, 0 = not churn), the coefficient for 'contract length' is -0.5. Which of the following is the correct interpretation?
⚠ Common exam trap
DA0-002 often tests the confusion between log-odds and probability, or between odds and probability, leading candidates to incorrectly interpret coefficients as direct probability changes.
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 unit increase in contract length, the log-odds of churn decrease by 0.5.
In logistic regression, the coefficient represents the change in log-odds of the outcome for a one-unit increase in the predictor, holding other variables constant. A coefficient of -0.5 means that for each unit increase in contract length, the log-odds of churn decrease by 0.5. This is the correct interpretation of the model's output.
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 unit increase in contract length, the log-odds of churn decrease by 0.5.
Why this is correct
In logistic regression the coefficient operates on the log-odds scale, so a -0.5 coefficient means each one-unit rise in contract length lowers the log-odds of churn by 0.5, holding other predictors constant. This directly satisfies the stem's request for the correct interpretation of that coefficient.
- ✗
Longer contract length increases the odds of churn.
Why it's wrong here
The negative sign means longer contracts are associated with lower log-odds of churn, so this reverses the direction of the relationship. The option tempts because contract length intuitively relates to churn, but the sign, not the variable's relevance, determines whether odds rise or fall.
- ✗
The probability of churn decreases by 50% for each unit increase in contract length.
Why it's wrong here
Logistic coefficients act on the log-odds, not probability directly; -0.5 means the log-odds fall by 0.5, giving an odds ratio of about 0.61, not a 50% probability reduction. The tempting percentage reading applies to linear regression coefficients, where the slope is measured in outcome units.
- ✗
Contract length is not a significant predictor.
Why it's wrong here
A coefficient of -0.5 is estimated with a standard error; significance depends on that ratio, not the coefficient's magnitude, so this conclusion is unsupported. The option tempts when a coefficient is near zero or its confidence interval spans zero, which is the actual basis for declaring a predictor non-significant.
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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.