Statistics Help @ Talk Stats Forum - Regression Analysis
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Linear regression, linear models, nonlinear regressionenSat, 18 Nov 2017 10:11:33 GMTvBulletin60http://www.talkstats.com/images/misc/rss.pngStatistics Help @ Talk Stats Forum - Regression Analysis
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What should I report for a negative binomial regression in a presentation?
http://www.talkstats.com/showthread.php/70767-What-should-I-report-for-a-negative-binomial-regression-in-a-presentation?goto=newpost
Fri, 17 Nov 2017 15:33:35 GMTWould I report the statistics similar to those of a normal regression? The equation, R2 and p-value?Would I report the statistics similar to those of a normal regression? The equation, R2 and p-value?
]]>Regression Analysissrpang89http://www.talkstats.com/showthread.php/70767-What-should-I-report-for-a-negative-binomial-regression-in-a-presentationlogit model without constant: which statistics for evaluating?
http://www.talkstats.com/showthread.php/70760-logit-model-without-constant-which-statistics-for-evaluating?goto=newpost
Fri, 17 Nov 2017 10:46:39 GMTHi
My logistic model has a dependent variable responses (1) if an investment’s cost/benefit ratio≥1 and (0) if c/b ratio<1.
Independents are region(0-1), type of investment (0-1), investment sector(3 categories, one is base)
When constant term included, the model cannot be estimated because of endless iterations. When constant excluded, all parameters are significant at %5 and %10, prob>chi2=0.0082 wald(4)=13.74.
It’s clear that constant term is not good for my model. As far as i understand, cost/benefit ratio may not exist under the assumption all independents equal to zero. But how i could interpret the coefficients and Which statistics or goodness of fit measure should i use for evaluating the significance of model the model without constant term? And what happens to logit model without constant?
Thanks for now.
]]>Regression Analysislogithttp://www.talkstats.com/showthread.php/70760-logit-model-without-constant-which-statistics-for-evaluating<![CDATA[multiple regression residuals and "partialling out"]]>
http://www.talkstats.com/showthread.php/70756-multiple-regression-residuals-and-quot-partialling-out-quot?goto=newpost
Thu, 16 Nov 2017 18:04:35 GMTHi All,

I would like to clarify a bit what "partialling out" means in multiple regression. Suppose I have three variables: Y, X, and Z.

First, I regress Y on Z and obtain the residuals from this regression. Then, I estimate the following:

Residual=B0+B1X

Now, I estimate;

Y=B0+B1X+B2Z.

Conceptually, it seems to me like B1 should be identical in both regressions. However, this is not the case when I try it out myself. Can anybody clarify this a bit, or give me some reading? Thank you!
]]>Regression AnalysisNickmpcohttp://www.talkstats.com/showthread.php/70756-multiple-regression-residuals-and-quot-partialling-out-quot