1.For the following problem, find coefficient of correlation, coefficient of determination and least squares regression line. Inerperret your results.
x | 1 | 2 | 3 | 4 | 5 | 6 |
y | 4 | 3 | 2 | 9 | 15 | 28 |
X | Y | XY | X^2 | Y^2 |
1 | 4 | 4 | 1 | 16 |
2 | 3 | 6 | 4 | 9 |
3 | 2 | 6 | 9 | 4 |
4 | 9 | 36 | 16 | 81 |
5 | 15 | 75 | 25 | 225 |
6 | 28 | 168 | 36 | 784 |
From the above calculated table and formula we get the value are as:
n | 6 |
sum(XY) | 295.00 |
sum(X) | 21.00 |
sum(Y) | 61.00 |
sum(X^2) | 91.00 |
sum(Y^2) | 1119.00 |
Numerator | 489.00 |
Denominator | 560.59 |
r | 0.8723 |
r square | 0.7609 |
b | 4.6571 |
a | -6.1333 |
coefficient of correlation = 0.8723
coefficient of determination = 0.7609
Least square regression line y = a + bx
y = -6.1333 + 4.6571x
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