Regression of height of children:  1. Y = 24.53 + 0.6377x Mean of height of children: 68.09 Mean height of adults: 68.3  Height of Children measured in terms of deviations from its mean: 2. Y = -0.00001 + 0.6377X Now Answer:  If a person’s parents are 3 inches above average height, do you predict their children to be above or below average height? And how many inches above or below average height?   If a person’s parents are 3 inches below average height, do you predict their children to be above or below average height? And how many inches above or below average height?   The term “regression to the mean” comes from Galton’s work. Why do you think that term is appropriate in the context of this problem?   Use the F statistic to test the hypothesis that there is no relation between the heights of children and the heights of their parents at the 5% level of significance. Do you reject this hypothesis or not?   If you reject the hypothesis in the previous question, what is the probability that you are committing a Type I error (i.e., what is the probability of a false positive)?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Regression of height of children: 

1. Y = 24.53 + 0.6377x

Mean of height of children: 68.09

Mean height of adults: 68.3 

Height of Children measured in terms of deviations from its mean:

2. Y = -0.00001 + 0.6377X

Now Answer: 

  1. If a person’s parents are 3 inches above average height, do you predict their children to be above or below average height? And how many inches above or below average height?

 

  1. If a person’s parents are 3 inches below average height, do you predict their children to be above or below average height? And how many inches above or below average height?

 

  1. The term “regression to the mean” comes from Galton’s work. Why do you think that term is appropriate in the context of this problem?

 

  1. Use the F statistic to test the hypothesis that there is no relation between the heights of children and the heights of their parents at the 5% level of significance. Do you reject this hypothesis or not?

 

  1. If you reject the hypothesis in the previous question, what is the probability that you are committing a Type I error (i.e., what is the probability of a false positive)?
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