Further Investigation of g, Part 2
9.
On the graph of R and g, try a Power Fit and an Inverse Power Fit as follows. They have
the following form.
y = A(x - x_0)^n + B
y = \frac{A}{(x - x_0)^n} + B
a. Select the Power fit.
b. Click on the Curve Fit Editor. Lock the value of B to zero and unlock all other
parameters. Click Update Fit.
c. Record the values (n's, A's and B's) from the fit below. If the RSME (root mean
square error is large, something is wrong.)
d. Repeat for the above for the Inverse Power Fit.
Do the exponents that you found for the two curve fits agree with each other? Do these
results agree with your previous conclusions about the dependence of R on g? Explain.
n = -1.01 \pm 0.0026
Power Fit
A = 1010 \pm 10
B = 0.00 \pm 0.0
Inverne Power
Fit
n = 0.999 \pm 0.0013
A = 975 \pm 2.3
B = -0.236 \pm 0.059
