Determine the quadratic regression for the data.
{(1, 5), (3, 4), (4, 1), (5, 2), (7, 4)}1, 5, 3, 4, 4, 1, 5, 2, 7, 4
Explain how you got your answers. Round to the nearest hundredth.
Let the equation of the model be : y = ax2+bx+c.
Then,
Therefore, the normal equations are :
a+b+c =
a+b+c =
a+b+c =
COMPUTATION TABLE :
x | y | x2 | x3 | x4 | xy | x2y |
1 | 5 | 1 | 1 | 1 | 5 | 5 |
3 | 4 | 9 | 27 | 81 | 12 | 36 |
4 | 1 | 16 | 64 | 256 | 4 | 16 |
5 | 2 | 25 | 125 | 625 | 10 | 50 |
7 | 4 | 49 | 343 | 2401 | 28 | 196 |
20 | 16 | 100 | 560 | 3364 | 59 | 303 |
Then from the above equations are :
100a+20b+c = 16
560a+100b+20c = 59
3364a+560b+100c = 303
Solving we get, a = -0.16, b = 1.64, c = -0.76
Therefore, the quadratic regression is : y = -0.16x2+1.64x-0.76 .
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