Five observations taken for two variables follow.
xi | 4 | 6 | 12 | 4 | 15 |
yi | 50 | 50 | 40 | 50 |
20 |
compute the sample correlation coefficient (to 3
decimals).
What can you conclude, based on your computation of the sample
correlation coefficient?
There is a strong positive linear relationship
There is a moderate positive linear relationship
There is neither a positive nor a negative linear relationship
There is a strong negative linear relationship
There is a moderate negative linear relationship
Solution :
X | Y | XY | X^2 | Y^2 |
4 | 50 | 200 | 16 | 2500 |
6 | 50 | 300 | 36 | 2500 |
12 | 40 | 480 | 144 | 1600 |
4 | 50 | 200 | 16 | 2500 |
15 | 20 | 300 | 225 | 400 |
n | 5 |
sum(XY) | 1480.00 |
sum(X) | 41.00 |
sum(Y) | 210.00 |
sum(X^2) | 437.00 |
sum(Y^2) | 9500.00 |
Numerator | -1210.00 |
Denominator | 1309.05 |
r | -0.9243 |
r square | 0.8544 |
Xbar(mean) | 8.2000 |
Ybar(mean) | 42.0000 |
SD(X) | 4.4900 |
SD(Y) | 11.6619 |
b | -2.4008 |
a | 61.6865 |
The sample correlation coefficient = r = -0.924
There is a strong negative linear relationship .
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