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Author Question: The best linear prediction rule is the one that has the least A) error when predicting from the ... (Read 51 times)

Engineer

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on: Jun 20, 2018
The best linear prediction rule is the one that has the least
 
  A) error when predicting from the mean.
  B) squared error when predicting from the mean.
  C) error when predicting using that rule.
  D) squared error when predicting using that rule.

Question 2

The cutoff F used to evaluate the significance of the Scheff test for any particular comparison between two group means is
 
  A) the same cutoff F used for the overall study.
  B) the cutoff based on df = 1 for the numerator and the overall dfBetween for the denominator.
  C) the cutoff based on df = 2 for the numerator and the overall dfWithin for the denominator.
  D) the cutoff based on df = 1 for the numerator and df = overall dfWithin / 2 for the denominator.


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31809pancho

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Reply #1 on: Jun 20, 2018
Answer to Question 1

D

Answer to Question 2

A


Engineer

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Reply 2 on: Jun 20, 2018
Thanks for the timely response, appreciate it

carlsona147

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Reply 3 on: Yesterday
Wow, this really help

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