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1. Data points (x1, y1 ), (x2,y2),.......,(xn,yn) is regressed to y = 1/(ax+b)2. The constants of the model a and b are solved by data linearization. Find the formulas for calculating a and b?
Hint: Take the inverse and square-root of both sides.
2. It is desired to obtain a functional relationship between the mass density Ρ of air and the altitude h above the sea level for the dynamic analysis of bodies moving within earth's atmosphere. Use the approximation Ρ = k1e-k2h to fit the data given below by regression analysis.
Find the constants k1 and k2. You are allowed to linearize the data.
3. Fit W = at2 + bt + c to the following data to find W(360)
0
2
4
6
18
7.5
11.25
14.3
16
26
The data given above is actually the weight (lbs) of a baby as a function of the age (months) of the baby. We expect that the weight of the baby to saturate as the baby reaches adulthood. Suggest a different model and estimate W(360).
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