Like father, like son: In 1906 , the statistician Karl Pearson measured the heights of 1078 pairs of fathers and sons. The following table presents a sample of 7 pairs, with height measured in inches, simulated from the distribution specified by Pearson. Father's height Son's height 65.4 66.0 73.6 74.9 68.3 68.3 66.7 68.8 69.1 71.8 70.7 71.0 69.3 71.4 Compute the least-squares regression line for predicting son's height ( y) from father's height (x). Round the slope and y-intercept values to at least four decimal places.
Like father, like son: In 1906 , the statistician Karl Pearson measured the heights of 1078 pairs of fathers and sons. The following table presents a sample of 7 pairs, with height measured in inches, simulated from the distribution specified by Pearson. Father's height Son's height 65.4 66.0 73.6 74.9 68.3 68.3 66.7 68.8 69.1 71.8 70.7 71.0 69.3 71.4 Compute the least-squares regression line for predicting son's height ( y) from father's height (x). Round the slope and y-intercept values to at least four decimal places.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Like father, like son: In
1906
, the statistician Karl Pearson measured the heights of
1078
pairs of fathers and sons. The following table presents a sample of
7
pairs, with height measured in inches, simulated from the distribution specified by Pearson.
| Father's height |
Son's height |
|---|---|
|
65.4
|
66.0
|
|
73.6
|
74.9
|
|
68.3
|
68.3
|
|
66.7
|
68.8
|
|
69.1
|
71.8
|
|
70.7
|
71.0
|
|
69.3
|
71.4
|
Compute the least-squares regression line for predicting son's height (
y) from father's height (x). Round the slope and y-intercept values to at least four decimal places.
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