Answer regression error and coin toss expectation
Company: C3 AI
Role: Data Scientist
Category: Statistics & Math
Difficulty: Medium
Interview Round: Technical Screen
### Multiple choice: Regression assumptions + expectation
Answer the following.
#### 1) Linear vs. Logistic Regression “error” statements
Which statement is most correct?
A. In Linear Regression, errors are assumed to follow a normal distribution, while in Logistic Regression, the outcome likelihood is Bernoulli/binomial.
B. In Linear Regression, we minimize squared errors, while in Logistic Regression, we minimize squared errors as well.
C. In Linear Regression, residuals are always binary, while in Logistic Regression, residuals are continuous.
D. Both Linear and Logistic Regression assume errors are homoscedastic and normally distributed.
#### 2) Expected tosses for 3 heads in a row
What is the expected number of fair coin tosses needed to get **three heads in a row**?
A. 6
B. 8
C. 14
D. 20
Quick Answer: This question evaluates understanding of regression model assumptions—distinguishing error distributions and likelihood formulations in linear versus logistic regression—and discrete probability concepts such as the expected waiting time for sequential events like consecutive heads.