In the multiple regression model, the least squares estimator is ...

[rlane42]

In the multiple regression model, the least squares estimator is derived by
 
  A) minimizing the sum of squared prediction mistakes.
  B) setting the sum of squared errors equal to zero.
  C) minimizing the absolute difference of the residuals.
  D) forcing the smallest distance between the actual and fitted values.

Question 2

The homoskedastic normal regression assumptions are all of the following with the exception of:
 
  A) the errors are homoskedastic.
  B) the errors are normally distributed.
  C) there are no outliers.
  D) there are at least 10 observations.

[batool]

Answer to Question 1

Answer: A

Answer to Question 2

Answer: D

[rlane42]

Excellent

[marict]

Gracias!