Let X be the weight of bikes (Ibs) and Y be the cost of bikes ($) as in the table below. Find the sample correlation coefficient and describe; find prediction equation and predict the cost of a bike with the weight of 30 Ibs.
X | Y | XY | X^2 | Y^2 |
24 | 740 | 17760 | 576 | 547600 |
32 | 420 | 13440 | 1024 | 176400 |
35 | 400 | 14000 | 1225 | 160000 |
22 | 880 | 19360 | 484 | 774400 |
40 | 250 | 10000 | 1600 | 62500 |
28 | 610 | 17080 | 784 | 372100 |
From the above table and formula we get the value are as;
n | 6 |
sum(XY) | 91640.00 |
sum(X) | 181.00 |
sum(Y) | 3300.00 |
sum(X^2) | 5693.00 |
sum(Y^2) | 2093000.00 |
Numerator | -47460.00 |
Denominator | 48272.10 |
r | -0.9832 |
Sample correlation coefficient = -0.9832
b = -33.9728 | |
a = 1574.8461 |
Prediction equation = 1574.8461 - 33.9728x
when x = 30
y = 1574.8461 - 33.9728*30
= 555.6621
Let X be the weight of bikes (Ibs) and Y be the cost of bikes ($) as in the table below
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