Use the following information for problems 17-19:
Given the following data:
x | 1 | 2 | 3 | 4 | 5 | 6 |
y | 22 | 31 | 28 | 41 | 33 | 41 |
Which of the following would be the LSRL for the given data?
Determine the correlation coefficient for the data?
Find the residual value for x = 5.
Solution :
X | Y | XY | X^2 | Y^2 |
1 | 22 | 22 | 1 | 484 |
2 | 31 | 62 | 4 | 961 |
3 | 28 | 84 | 9 | 784 |
4 | 41 | 164 | 16 | 1681 |
5 | 33 | 165 | 25 | 1089 |
6 | 41 | 246 | 36 | 1681 |
n | 6 |
sum(XY) | 743.00 |
sum(X) | 21.00 |
sum(Y) | 196.00 |
sum(X^2) | 91.00 |
sum(Y^2) | 6680.00 |
Numerator | 342.00 |
Denominator | 418.00 |
r | 0.8182 |
r square | 0.6694 |
Xbar(mean) | 3.5000 |
Ybar(mean) | 32.6667 |
SD(X) | 1.7078 |
SD(Y) | 6.7987 |
b | 3.2571 |
a | 21.2667 |
The correlation coefficient for the data = r = 0.8182
Predicted = 21.2667 + 5 * 3.2571 = 37.5522
Actual = 33
The residual value for x = 5. is ,
= 33 - 37.5522
= -4.5522
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