Which of the following is not an indicator of multicollinearity? ...

[jenna1]

Which of the following is not an indicator of multicollinearity?
 
  A) Regression coefficients do differ considerably from values indicated by theory or experience including having incorrect signs.
  B) Coefficients of variables believed to be a strong influence have small Student's t statistics indicating that their values do not differ from 0.
  C) All the coefficient student t statistics are small, indicating no individual effect.
  D) High correlations between individual independent variables.

Question 2

The central limit theorem states that if all possible random samples of size n are taken from any population, the sampling distribution of sample means becomes approximately normal when the sample size n is large enough.
 
  Indicate whether the statement is true or false

[wuly]

Answer to Question 1

A

Answer to Question 2

TRUE

[jenna1]

Wow, this really help

[ktidd]

Thanks for the timely response, appreciate it