DA0-002 Data Analysis Practice Question
A data analyst wants to predict customer churn based on categorical features like region and plan type, and continuous features like usage and tenure. Which regression type should be used?
⚠ Common exam trap
CompTIA often tests the misconception that 'regression' in the option name implies it is only for continuous outcomes, leading candidates to overlook logistic regression as a valid classification technique.
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
✓
Logistic regression
Logistic regression is the correct choice because the target variable, customer churn, is binary (churn vs. no churn). Logistic regression models the probability of a binary outcome using a sigmoid function, making it suitable for classification tasks with both categorical and continuous predictors.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Logistic regression
Why this is correct
Logistic regression is used for binary classification, suitable for churn prediction.
- ✗
Ridge regression
Why it's wrong here
Ridge regression is a regularized linear regression, still for continuous outcomes.
- ✗
Linear regression
Why it's wrong here
Linear regression predicts a continuous outcome, not binary.
- ✗
Lasso regression
Why it's wrong here
Lasso regression is also for continuous outcomes with feature selection.
Go deeper
Related to this question
About these practice questions
One of 986 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 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.