For the third one:
?anova.glm
test=Chisq will be LRT.
For the first two, you can have the answer from ordinary stat book.
On Wed, Nov 5, 2008 at 1:11 PM, Maithili Shiva <[EMAIL PROTECTED]> wrote:
> Hi!
>
> I am working on the Logistic Regression using R. My R script is as follows
>
>
> ONS <- read.csv("ONS.csv",header = TRUE)
>
> ONS.glm <- glm(Y ~ Age1+Age2+Sex+Education+Profession+TimeInJob+
> TimeInCurrentJob+OwnResidence+Dependents+ApplIncome+FamilyInco+IIR+FOIR+YearsAtBank+SavingsAccount+CurrentAccount,
> family = binomial(link = logit), data=ONS)
>
> summary(ONS.glm)
>
>
> OUTPUT (RESULT) is as follows -
>
> Deviance Residuals:
> Min 1Q Median 3Q Max
> -1.7888 -0.6910 -0.3220 -0.2179 3.1608
>
> Coefficients:
> Estimate Std. Error z value Pr(>|z|)
> (Intercept) -1.454e+00 1.380e-01 -10.532 < 2e-16 ***
> Age1 2.313e-01 9.902e-02 2.336 0.0195 *
> Age2 -6.648e-01 5.209e-02 -12.761 < 2e-16 ***
> Sex -7.012e-01 7.325e-02 -9.572 < 2e-16 ***
> Education -5.271e-01 7.963e-02 -6.619 3.61e-11 ***
> Profession -3.512e-01 4.908e-02 -7.155 8.38e-13 ***
> TimeInJob -3.107e-01 1.980e-01 -1.569 0.1166
> TimeInCurrentJob 2.752e+00 1.895e-01 14.521 < 2e-16 ***
> OwnResidence 1.608e+00 1.858e-01 8.654 < 2e-16 ***
> Dependents -4.066e-01 1.867e-01 -2.178 0.0294 *
> ApplIncome -6.401e-02 4.319e-03 -14.820 < 2e-16 ***
> FamilyInco 7.148e-02 7.389e-03 9.674 < 2e-16 ***
> IIR 5.765e-02 1.353e-02 4.262 2.03e-05 ***
> FOIR 7.383e-07 1.056e-07 6.990 2.74e-12 ***
> YearsAtBank -1.926e-07 3.519e-08 -5.473 4.42e-08 ***
> SavingsAccount -2.083e-07 1.785e-07 -1.167 0.2432
> CurrentAccount -1.550e+00 1.107e-01 -14.008 < 2e-16 ***
> ---
> Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
>
> (Dispersion parameter for binomial family taken to be 1)
>
> Null deviance: 39300 on 42499 degrees of freedom
> Residual deviance: 32534 on 42483 degrees of freedom
> AIC: 32568
>
> ____________________________________________________________
>
> Question No - (1)
>
> What does this means?
>
> Deviance Residuals:
> Min 1Q Median 3Q Max
> -1.7888 -0.6910 -0.3220 -0.2179 3.1608
>
>
> Question No - (2)
>
> What does this means?
>
> Null deviance: 39300 on 42499 degrees of freedom
> Residual deviance: 32534 on 42483 degrees of freedom
>
>
> And this is the last question
>
> Question No - (3)
>
> To test Ho : All regression coefficients are ZERO, I need to use Likelihood
> Ratio Test (G) and the related p value. When I use minitab, I get value of G
> and related p, but using R language, how do I get value of G and p value?
>
> _____________________________________________________________
>
> I am sincerely sorry for raising these many questions? But I am sure there
> will be many like me who will also be immensely benefited by the replies, I
> may get pertaining to these questions.
>
>
> Thanking you all in advance,
>
> With warm regards
>
> Maithili Shiva
>
>
>
>
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
CH Chan
Research Assistant - KWH
http://www.macgrass.com
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and provide commented, minimal, self-contained, reproducible code.
