For each of the following data sets, determine a function y(x) that fits the data, by the following steps
data1.asc
etc.load data1.asc
.data1
, y
to the second.plot
, semilogy
, semilogx
, and loglog
to determine the form of log-linear relationship x
and y
.y
as a function of x
, e.g. y = 3.2 x - 4
.Once you have good fit between the data and the function, make a plot that shows
The data sets are given as N x 2 matrices with x as the first column and y as the second.
-7.3678e+01 5.5580e+01 -3.9780e+01 3.8902e+01 -5.7090e+00 2.2139e+01 7.2455e+00 1.5765e+01 2.1237e+01 8.8812e+00 5.3694e+01 -7.0872e+00 6.1294e+01 -1.0827e+01 6.6552e+01 -1.3414e+01 7.0465e+01 -1.5339e+01 9.8648e+01 -2.9205e+01
1.3880e+00 -1.6169e+01 1.6134e+00 -1.4893e+01 3.0034e+00 -9.6227e+00 1.2373e+01 2.3840e+00 1.9897e+01 6.4134e+00 3.7767e+01 1.1848e+01 8.2823e+01 1.8508e+01 6.4551e+02 3.5922e+01 7.3920e+02 3.7072e+01 2.1998e+03 4.6321e+01
-1.8137e+01 2.3293e+04 -4.9006e+00 1.7647e+03 1.5501e+00 5.0186e+02 1.0603e+01 8.5938e+01 1.1370e+01 7.4004e+01 1.2914e+01 5.4770e+01 3.5890e+01 6.2153e-01 4.6459e+01 7.9200e-02 5.6213e+01 1.1830e-02 5.6826e+01 1.0497e-02
1.1028e+00 3.5676e-03 1.7049e+00 5.1446e-03 5.3239e+00 1.3392e-02 6.2795e+00 1.5384e-02 1.2042e+01 2.6588e-02 7.3213e+01 1.2114e-01 1.0667e+02 1.6620e-01 3.2404e+02 4.2274e-01 4.2700e+02 5.3303e-01 6.9222e+02 7.9991e-01