Solved Problem on Correlation in Statistical Methods - Worksheet | STAT 3005, Study notes of Data Analysis & Statistical Methods

Correlation Worksheet Handout Material Type: Notes; Class: Statistical Methods; Subject: Statistics; University: Virginia Polytechnic Institute And State University; Term: Spring 2010;

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Pre 2010

Uploaded on 09/20/2010

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Stat 3005 Correlation Example Handout Spring 2010
1
Example 3.3: A student wonders if tall women tend to date taller men than shorter women do. Here
are the heights of 6 randomly selected couples.
Couple (i) 1 2 3 4 5 6
Women (x) 66 64 66 65 70 65
Men (y) 72 68 70 68 71 65
Compute the correlation and interpret!
๐‘Ÿ๐‘Ÿ=1
๐‘›๐‘›โˆ’1๏ฟฝ๐‘ง๐‘ง๐‘ฅ๐‘ฅ๐‘–๐‘–๐‘ง๐‘ง๐‘ฆ๐‘ฆ๐‘–๐‘–
๐‘›๐‘›
๐‘–๐‘–=1
๐‘ง๐‘ง๐‘ฅ๐‘ฅ๐‘–๐‘–=๐‘ฅ๐‘ฅ๐‘–๐‘–โˆ’๐‘ฅ๐‘ฅ๎ชง
๐‘ ๐‘ ๐‘ฅ๐‘ฅ ๐‘Ž๐‘Ž๐‘›๐‘›๐‘Ž๐‘Ž ๐‘ง๐‘ง๐‘ฆ๐‘ฆ๐‘–๐‘–=๐‘ฆ๐‘ฆ๐‘–๐‘–โˆ’๐‘ฆ๐‘ฆ๏ฟฝ
๐‘ ๐‘ ๐‘ฆ๐‘ฆ
Step 1: We need to compute both ๐‘ง๐‘ง๐‘ฅ๐‘ฅ๐‘–๐‘– and ๐‘ง๐‘ง๐‘ฆ๐‘ฆ๐‘–๐‘– for ๐‘–๐‘–= 1, 2, 3, 4, 5,6. From Minitab:
So ๐‘ฅ๐‘ฅ1=66 ๐‘Ž๐‘Ž๐‘›๐‘›๐‘Ž๐‘Ž ๐‘ฆ๐‘ฆ1=72. Then ๐‘ง๐‘ง๐‘ฅ๐‘ฅ1=๐‘ฅ๐‘ฅ1โˆ’๐‘ฅ๐‘ฅ๎ชง
๐‘ ๐‘ ๐‘ฅ๐‘ฅ=66โˆ’66
2.098 = 0 and ๐‘ง๐‘ง๐‘ฆ๐‘ฆ1=๐‘ฆ๐‘ฆ1โˆ’๐‘ฆ๐‘ฆ
๏ฟฝ
๐‘ ๐‘ ๐‘ฆ๐‘ฆ=72โˆ’69
2.53 = 1.186. The rest of
the ๐‘ง๐‘ง๐‘ฅ๐‘ฅ๐‘–๐‘–
โ€ฒ๐‘ ๐‘  and ๐‘ง๐‘ง๐‘ฆ๐‘ฆ๐‘–๐‘–
โ€ฒ๐‘ ๐‘  are calculated in this manner and can be seen in the table below.
๐‘–๐‘–
Women (x) Men(y)
๐‘ง๐‘ง๐‘ฅ๐‘ฅ
๐‘ง๐‘ง๐‘ฆ๐‘ฆ
1 66 72 0 1.186
2 64 68 -0.953
-0.395
3
66
70
0
0.395
4 65 68 -0.477
-0.395
5 70 71 1.907 0.791
6 65 65 -0.477
-1.581
53.2098.26966 ==== yx ssyx
pf2

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Stat 3005 Correlation Example Handout Spring 2010

Example 3.3: A student wonders if tall women tend to date taller men than shorter women do. Here are the heights of 6 randomly selected couples.

Couple (i) 1 2 3 4 5 6

Women (x) 66 64 66 65 70 65

Men (y) 72 68 70 68 71 65

Compute the correlation and interpret!

๐‘›๐‘› โˆ’ 1 ๏ฟฝ ๐‘ง๐‘ง๐‘ฅ๐‘ฅ^ ๐‘–๐‘–^ ๐‘ง๐‘ง๐‘ฆ๐‘ฆ^ ๐‘–๐‘–

๐‘›๐‘›

๐‘–๐‘–= ๐‘ง๐‘ง๐‘ฅ๐‘ฅ (^) ๐‘–๐‘– =

๐‘ ๐‘ ๐‘ฅ๐‘ฅ^ ๐‘Ž๐‘Ž๐‘›๐‘›๐‘Ž๐‘Ž^ ๐‘ง๐‘ง๐‘ฆ๐‘ฆ^ ๐‘–๐‘–^ =^

Step 1: We need to compute both ๐‘ง๐‘ง๐‘ฅ๐‘ฅ ๐‘–๐‘– and ๐‘ง๐‘ง๐‘ฆ๐‘ฆ ๐‘–๐‘– for ๐‘–๐‘– = 1, 2, 3, 4, 5,6. From Minitab:

So ๐‘ฅ๐‘ฅ 1 = 66 ๐‘Ž๐‘Ž๐‘›๐‘›๐‘Ž๐‘Ž ๐‘ฆ๐‘ฆ 1 = 72. Then ๐‘ง๐‘ง๐‘ฅ๐‘ฅ 1 = ๐‘ฅ๐‘ฅ^1 ๐‘ ๐‘ โˆ’๐‘ฅ๐‘ฅฬ… ๐‘ฅ๐‘ฅ = (^66) 2.098โˆ’^66 = 0 and ๐‘ง๐‘ง๐‘ฆ๐‘ฆ 1 = ๐‘ฆ๐‘ฆ^1 ๐‘ ๐‘ โˆ’๐‘ฆ๐‘ฆ๏ฟฝ ๐‘ฆ๐‘ฆ = (^72) 2.53โˆ’^69 = 1.186. The rest of

the ๐‘ง๐‘ง๐‘ฅ๐‘ฅ ๐‘–๐‘–โ€ฒ^ ๐‘ ๐‘  and ๐‘ง๐‘ง๐‘ฆ๐‘ฆ ๐‘–๐‘–โ€ฒ^ ๐‘ ๐‘  are calculated in this manner and can be seen in the table below.

๐‘–๐‘– (^) Women (x) Men(y) ๐‘ง๐‘ง๐‘ฅ๐‘ฅ ๐‘ง๐‘ง๐‘ฆ๐‘ฆ

1 66 72 0 1.

2 64 68 -0.953 -0.

3 66 70 0 0.

4 65 68 -0.477 -0.

5 70 71 1.907 0.

6 65 65 -0.477 -1.

x = 66 y = 69 sx = 2. 098 sy = 2. 53

Stat 3005 Correlation Example Handout Spring 2010

Step 2: We need to multiply ๐‘ง๐‘ง๐‘ฅ๐‘ฅ and ๐‘ง๐‘ง๐‘ฆ๐‘ฆ

๐‘ง๐‘ง๐‘ฅ๐‘ฅ ๐‘ง๐‘ง๐‘ฆ๐‘ฆ ๐‘ง๐‘ง๐‘ฅ๐‘ฅ ๐‘ง๐‘ง๐‘ฆ๐‘ฆ

0 1.186 0

-0.953 -0.395 0.

0 0.395 0

-0.477 -0.395 0.

1.907 0.791 1.

-0.477 -1.581 0.

Step 3: Sum the products

๐‘›๐‘›

๐‘–๐‘–=

Step 4: Divide by ๐‘›๐‘› โˆ’ 1

๐‘›๐‘› โˆ’ 1 ๏ฟฝ ๐‘ง๐‘ง๐‘ฅ๐‘ฅ^ ๐‘–๐‘–^ ๐‘ง๐‘ง๐‘ฆ๐‘ฆ^ ๐‘–๐‘–

๐‘›๐‘›

๐‘–๐‘–=

Interpretation: Moderate, positive linear association between the womenโ€™s and menโ€™s heights.