Chapter 12-13 Linear/Logistic Regression With Maximum Likelihood Estimation

Question 1

The parameters of a linear regression model can be estimated using ____ or by ____ procedure. P 112

Answer 1

a least squares procedure, a maximum likelihood estimation

Question 2

A linear regression model can be fit under conditional maximum likelihood estimation framework and can be shown to derive an identical solution to a least squares approach. True/False P 112

Answer 2

True

Question 3

Calculating the negative of the log-likelihood function for the Bernoulli distribution is
equivalent to calculating the cross-entropy function for the Bernoulli distribution. True/False P 126

Answer 3

True