To determine if there are outliers in a least squares regression ...

[jc611]

To determine if there are outliers in a least squares regression models data set, we could construct a boxplot of the
 
  A) residuals. B) response variables.
  C) predictor variables. D) lurking variables.

Question 2

Assume that the random variable X is normally distributed, with mean  = 50 and standard deviation  = 16. Compute the probability P(6 < X < 70).
 
  A) 0.8914 B) 0.8819 C) 0.8944 D) 0.7888

[Sammyo]

Answer to Question 1

A

Answer to Question 2

A

[jc611]

Thanks

[Sammyo]

Welcome