Use linear regression to find the equation for the linear function that best fits this data. Round both numbers to two decimal places. Write your final answer in a form of an equation y=mx+by=mx+b | ||||||||||||||
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Solution:
X | Y | XY | X^2 | Y^2 |
1 | 93 | 93 | 1 | 8649 |
2 | 110 | 220 | 4 | 12100 |
3 | 138 | 414 | 9 | 19044 |
4 | 170 | 680 | 16 | 28900 |
5 | 191 | 955 | 25 | 36481 |
6 | 212 | 1272 | 36 | 44944 |
n | 6 |
sum(XY) | 3634.00 |
sum(X) | 21.00 |
sum(Y) | 914.00 |
sum(X^2) | 91.00 |
sum(Y^2) | 150118.00 |
Numerator | 2610.00 |
Denominator | 2618.73 |
r | 0.9967 |
r square | 0.9933 |
Xbar(mean) | 3.5000 |
Ybar(mean) | 152.3333 |
SD(X) | 1.7078 |
SD(Y) | 42.5937 |
b = m | 24.8571 |
a = b | 65.3333 |
y = 24.86 X + 65.33
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