Based on the data shown below, calculate the regression line
(each value to two decimal places)
y = x +
x | y |
---|---|
3 | 29.25 |
4 | 25.42 |
5 | 22.49 |
6 | 17.96 |
7 | 17.33 |
8 | 12.2 |
Solution :
X | Y | XY | X^2 | Y^2 |
3 | 29.25 | 87.75 | 9 | 855.5625 |
4 | 25.42 | 101.68 | 16 | 646.1764 |
5 | 22.49 | 112.45 | 25 | 505.8001 |
6 | 17.96 | 107.76 | 36 | 322.5616 |
7 | 17.33 | 121.31 | 49 | 300.3289 |
8 | 12.2 | 97.6 | 64 | 148.84 |
n | 6 |
sum(XY) | 628.55 |
sum(X) | 33.00 |
sum(Y) | 124.65 |
sum(X^2) | 199.00 |
sum(Y^2) | 2779.27 |
Numerator | -342.15 |
Denominator | 345.67 |
r | -0.9898 |
r square | 0.9797 |
Xbar(mean) | 5.5000 |
Ybar(mean) | 20.7750 |
SD(X) | 1.7078 |
SD(Y) | 5.6224 |
b | -3.2586 |
a | 38.6971 |
y = -3.26 X + 38.70
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