Question

Find the value of the linear correlation coefficient r. Round your answer to 3 decimal places if necessary. (1,2).(3,4),(5,6)
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Answer #1

Solution-:

We prepare the following table:

X Y X^2 Y^2 X*Y
1 2 1 4 2
3 4 9 16 12
5 6 25 36 30
Total 9 12 35 56 44

n=3,\sum X=9,\sum Y=12,\sum X^2=35,\sum Y^2=56, \sum XY=44

\bar{X}=\frac{\sum X}{n}=\frac{9}{3}= 3 and \bar{Y}=\frac{\sum Y}{n}=\frac{12}{3}=4

Var(X)=\frac{\sum X^2}{n}-\bar{X}^2=\frac{35}{3}-3^2=2.67

Var(Y)=\frac{\sum Y^2}{n}-\bar{Y}^2=\frac{56}{3}-4^2=2.67

SD(X)=\sqrt{Var(X)}=\sqrt{2.67}=1.63 and

SD(Y)=\sqrt{Var(Y)}=\sqrt{2.67}=1.63

Cov(X,Y)=\frac{\sum XY}{n}-\bar{X}*\bar{Y}=\frac{44}{3}-3*4=2.67

Corr(X,Y)=r=\frac{Cov(X,Y)}{SD(X)*SD(Y)}=\frac{2.67}{1.63*1.63}=1

Therefore, Correlation= 1.000

OR

By using R-Software:

> x=c(1,3,5);x
[1] 1 3 5
> y=c(2,4,6);y
[1] 2 4 6
> r=cor(x,y);r
[1] 1

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