On Thu, 24 Feb 2000 12:45:29 GMT, [EMAIL PROTECTED] wrote:
I have found a difference between the results produced by SPSS and
SYSTAT in linear regression with no constant term. Below are the
results from the programs. As you can see the adjusted R2 given by the
2 programs is different.
On Wed, 23 Feb 2000 19:14:10 GMT, [EMAIL PROTECTED] wrote:
Programmed a solution in Statistica Basic that transforms the raw data
into the proper form for the "Logit" tool: codes and [frequency]
counts. Then, used the Logit tool to fit a curve to the data
using "maximum likelyhood"
Sorry for my late reaction. Anyway, thank you for your answers.
In contrast to the two big US parties European parties often occupy only a
subset of the opinion spectrum. There are small parties that distinguish
themselves from e.g. Socialist parties on the one end of the spectrum vs.
In article [EMAIL PROTECTED],
[EMAIL PROTECTED] wrote:
On Wed, 23 Feb 2000 19:14:10 GMT, [EMAIL PROTECTED] wrote:
Programmed a solution in Statistica Basic that transforms the raw
data
into the proper form for the "Logit" tool: codes and [frequency]
counts. Then, used the Logit tool
Bill said earlier:
Yes, we do this so that we will have examples of all combinations of x1
and
x2,as we would do when using a factorial anova design. But such uniform
sampling does not make the variables into causes, Adding x1 to x2 causes
y,
Gus responded:
Here you are using a very
In article [EMAIL PROTECTED],
Frank E Harrell Jr [EMAIL PROTECTED] wrote:
S-Plus is a powerful object-oriented language based on the S
language (created at the same place that created the C language -
ATT Bell Labs - C is for "computer" S for "statistics").
Ouch. C was called C because it
I have found a difference between the results produced by SPSS and
SYSTAT in linear regression with no constant term. Below are the
results from the programs. As you can see the adjusted R2 given by the
2 programs is different. Which one is correct?
Data (from NIST line origin dataset):
Y
Biology is invaluable, and a good thing to have had in undergrad school
before entering biostat grad school. In my own work in biostat over
the last 20 years I have found physiology and pharmacology to be
very important. Increasingly, taking a genetics course will be important.
[EMAIL
The multiple correlation between X and Y does not depend on if there
is a constant term in the regression or not. The residual sum of
squares does. R2 is simply 1.0.
Basically, the answer is: both are quite incorrect, or: only two decimals
are correct.
Although I hate to pretend to correct Jan
