Stats Test?

Question

In my investigation I am measuring the affect of increasing heights (by a metre each time) on the distance/dispersal of maple seeds ('Helicopters/whirlybirds... The distance they traveled being recorded using centimetres and millimetres.
Once all the distances have been measured I calculate the average or mean distance that the seeds traveled, in cm and mm, at that paticular height. The expected results are; that as the height increases that the seeds are dropped from, the further they will travel (all other variables controlled)
I need a test to analyse my data, but I'm stumped as to which one to use? I currently going with Chi-squared... but is this correct? Should I use something like standard deviation?
Any advice is greatly appreciated!

Answer 1

We can theorize that
t = √ah
and
s = bt = b√ah = c√h
Then
ln(s) = ln(c) + (1/2)ln(h)
Generalizing (in case the exponent is not 1/2),
ln(s) = ln(c) + dln(h)
which is of the form
y = a + bx
where
y = ln(s)
a = ln(c)
b = d
x = ln(h)
Then a linear regression should give a close fit to the data, the correlation coefficient being the test parameter.