On Jan 12, 2013, at 7:28 PM, theundergrad wrote:
> Hi,
>
> I have very limited (one class and the rest self-taught) statistics
> background (I am a comparative biology major) working on an independent
> study.
The number of major issues of confusion in what follows suggest that this is a
topi
Hi,
I have very limited (one class and the rest self-taught) statistics
background (I am a comparative biology major) working on an independent
study. I think that I am beginning to understand:
The coefficient SexM is the slope estimate for TestNumber1. If I add the
coefficients for the other tw
On Jan 12, 2013, at 5:00 PM, peter dalgaard wrote:
On Jan 12, 2013, at 23:33 , Rolf Turner wrote:
We don't do people's homework for them.
But since you seem to have put in at least a little bit of your
own effort . It is perfectly possible for there to be an
interaction
without the
On Jan 12, 2013, at 23:33 , Rolf Turner wrote:
>
> We don't do people's homework for them.
>
> But since you seem to have put in at least a little bit of your
> own effort . It is perfectly possible for there to be an interaction
> without there being main effects.
>
> Consider two factor
We don't do people's homework for them.
But since you seem to have put in at least a little bit of your
own effort . It is perfectly possible for there to be an interaction
without there being main effects.
Consider two factors A and B each with two levels. Let mu_11 be
the population mea
Hi,
I am trying to interpret the coefficients in the model: RateOfMotorPlay ~
TestNumber + Sex + TestNumber * Sex where there are thee different tests and
Sex is (obviously) binary. My results are: Residuals:
Min 1Q Median 3QMax
-86.90 -26.28 -7.68 22.52 123.74
Coefficients:
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