Sir Francis Galton, in the late 1800s, was the first to introduce the statistical concepts of regression and correlation. He studied the relationships between pairs of variables such as the size of parents and the size of their offspring.
Data similar to that which he studied are given below, with the variable x denoting the height (in centimeters) of a human father and the variable denoting the height at maturity (in centimeters) of the father's oldest son. The data are given in tabular form and also displayed in the Figure 1 scatter plot. Also given are the products of the heights of fathers and heights of sons for each of the fifteen pairs. (These products, written in the column labelled "xy," may aid in calculations.)
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|
y
150
160
170
180
190
200
210
x
150
160
170
180
190
200
210
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Answer the following. Carry your intermediate computations to at least four decimal places, and round your answer as specified below.
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we have given the data set
Height of father, x | Height of son, y |
(in centimeters) | (in centimeters) |
182.2 | 178.9 |
180.7 | 189.6 |
190 | 194.8 |
160.3 | 172 |
170.6 | 181.7 |
161.7 | 165.6 |
190 | 189.2 |
185.9 | 186.9 |
171.8 | 171 |
176.5 | 174.8 |
192.5 | 189 |
173.1 | 176.5 |
201.3 | 191.2 |
155.9 | 174.2 |
188.3 | 176.1 |
using excel>data>data analysis>Correlation
we have
X | Y | |
X | 1 | |
Y | 0.790407 | 1 |
the value of the sample correlation coefficient for these data is 0.790
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