ISYE 6501 - Midterm 1 NEWEST 2025/2026 ACTUAL EXAM COMPLETE QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED ANSWERS) |ALREADY GRADED A+||BRAND NEW VERSION!!

ISYE 6501 Midterm 1 Exam | Questions and
Answers | 2026 Update | 100% Correct |
Grade A+

,
,
, Section 1: Classification & Logistic Regression
1. A logistic regression model for predicting customer churn (1 = churn, 0 =
no churn) yields the equation log(p/(1-p)) = -2.5 + 0.6x, where x is customer
tenure in years. What is the predicted probability of churn for a customer
with tenure = 5 years?
• A. 0.40
• B. 0.62
• C. 0.75
• D. 0.90
Correct Answer: B
Rationale: The linear predictor is -2.5 + 0.6(5) = 0.5. The odds are e^0.5 ≈ 1.6487.
Then p = odds/(1+odds) = 1.6487/2.6487 ≈ 0.622.


2. Which of the following is a supervised learning classification algorithm?
• A. K-Means Clustering
• B. Support Vector Machine (SVM)
• C. Principal Component Analysis (PCA)
• D. Association Rule Learning
Correct Answer: B
Rationale: SVM is a supervised learning algorithm used for classification. K-
Means and PCA are unsupervised, and association rule learning is also
unsupervised.


3. In logistic regression, the log-odds (logit) is expressed as:
• A. ln(p)
• B. ln(p/(1-p))