Answer regression error and coin toss expectation

### 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