For archiving reasons:
1. Practical Regression and Anova using R by Faraway
2. Possible reason: multi-collinearity in predictor variables.
Thanks everybody!
On Thu, Aug 8, 2013 at 1:43 PM, Stathis Kamperis ekamp...@gmail.com wrote:
Hi everyone,
I have a response variable 'y' and several
Hi everyone,
I have a response variable 'y' and several predictor variables 'x_i'.
I start with a linear model:
m1 - lm(y ~ x1); summary(m1)
and I get a statistically significant estimate for 'x1'. Then, I
modify my model as:
m2 - lm(y ~ x1 + x2); summary(m2)
At this moment, the estimate for
of data.
~ John Tukey
-Oorspronkelijk bericht-
Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Namens
Stathis Kamperis
Verzonden: donderdag 8 augustus 2013 12:43
Aan: r-help@r-project.org
Onderwerp: [R] Varying statistical significance in estimates of linear model
Hi
Stathis:
1. This has nothing to do with R. Post on a statistics list, like
stats.stackexchange.com
2. Read a basic regression/linear models text. You need to educate yourself.
-- Bert
On Thu, Aug 8, 2013 at 3:43 AM, Stathis Kamperis ekamp...@gmail.com wrote:
Hi everyone,
I have a response
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