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Author Question: To determine if there are outliers in a least squares regression models data set, we could construct ... (Read 67 times)

jc611

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on: Jul 24, 2018
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


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Sammyo

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Reply #1 on: Jul 24, 2018
Answer to Question 1

A

Answer to Question 2

A


jc611

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Reply #2 on: Jul 24, 2018
Thanks


Sammyo

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Reply #3 on: Jul 24, 2018
Welcome :)


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