So, the independant variable here is continuous ratio, the dependant variable discrete count.

I was pointed towards both Pearsons & Spearmans correlations, but as far as I can see, neither will fit my data type.

Any takers??

- Thread starter David S
- Start date

So, the independant variable here is continuous ratio, the dependant variable discrete count.

I was pointed towards both Pearsons & Spearmans correlations, but as far as I can see, neither will fit my data type.

Any takers??

This is from a similar experiment on another species, only with two treatments:

Control

0.0c

3 months stratification in perlite

0.0

3 months naked stratification

0.0

4 months stratification in perlite

73.8

4 months naked stratification

4.8

5 months stratification in perlite

75.1

5 months naked stratification

7.1

dictate if you are working with a Poisson or

Good luck, and my the stats gods shine their countenance upon this experiment!

im going Probit/logistic regression on this one, I don't see any obvious pairing/ correlation in the experiment?

These are probably option as well, especially Poisson, I think may have issues becaue it is bounded on top at 50 as im reeding it?

Good luck, and my the stats gods shine their countenance upon this experiment!

These are probably option as well, especially Poisson, I think may have issues becaue it is bounded on top at 50 as im reeding it?

Good luck, and my the stats gods shine their countenance upon this experiment!