[Answered] To determine if there are outliers in a least squares regression models data set, we could construct ...

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jc611

Hero Member
Posts: 552

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

Sr. Member
Posts: 329

Reply #1 on: Jul 24, 2018

Answer to Question 1

A

Answer to Question 2

A

jc611

Hero Member
Posts: 552

Reply #2 on: Jul 24, 2018

Thanks

Sammyo

Sr. Member
Posts: 329

Reply #3 on: Jul 24, 2018

Welcome

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Author Question: To determine if there are outliers in a least squares regression models data set, we could construct ... (Read 64 times)

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