Question

A retention analyst wants to model whether a customer will churn (yes/no) based on tenure, monthly charges, and number of support tickets. The goal is to produce, for each customer, a probability of churning that can be used to prioritize outreach. Which analysis technique is most appropriate?

Accepted Answer

Logistic regression, because the outcome is binary and it estimates the probability of the event

Answer

Linear regression, since it directly outputs a continuous churn score

Answer

Analysis of variance (ANOVA), to compare mean charges across churn groups

Answer

Pearson correlation, to measure the relationship between tenure and churn