2. Using the same approach as was employed to derive the regression equations, derive the least- squares fit of the following model: X 4 7 10 11 14 17 20 4 5 6. 5 8. 8 6. 9. 12 Ly That is, determine the slope that results in the least squats fit for a straight line with a zero intercept. Fit the following data with this model and display the result graphically.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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2. Using the same approach as was employed to derive the regression equations, derive the least-
squares fit of the following model:
X
2
4
6
7
10
11
14
17
20
4
5
6.
5
8
8.
6.
9.
12
y
That is, determine the slope that results in the least squats fit for a straight line with a zero
intercept. Fit the following data with this model and display the result graphically.
Transcribed Image Text:2. Using the same approach as was employed to derive the regression equations, derive the least- squares fit of the following model: X 2 4 6 7 10 11 14 17 20 4 5 6. 5 8 8. 6. 9. 12 y That is, determine the slope that results in the least squats fit for a straight line with a zero intercept. Fit the following data with this model and display the result graphically.
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