The intercept in the multiple regression model A) should be ...

[Brittanyd9008]

The intercept in the multiple regression model
 
  A) should be excluded if one explanatory variable has negative values.
  B) determines the height of the regression line.
  C) should be excluded because the population regression function does not go through the origin.
  D) is statistically significant if it is larger than 1.96.

Question 2

The following interactions between binary and continuous variables are possible, with the exception of
 
  A) Yi = 0 + 1Xi + 2Di + 3(Xi  Di) + ui.
  B) Yi = 0 + 1Xi + 2(Xi  Di) + ui.
  C) Yi = (0 + Di) + 1Xi + ui.
  D) Yi = 0 + 1Xi + 2Di + ui.

[prumorgan]

Answer to Question 1

Answer: B

Answer to Question 2

Answer: C

[Brittanyd9008]

Excellent

[kjohnson]

TYSM