- Mark as New
- Bookmark
- Subscribe
- Mute
- RSS Feed
- Permalink
- Report Inappropriate Content
Hello
In proc logistic output how the 'DF' column has 1 degrees of freedom for each independent variable.
Is there any formula?. Please help.
Accepted Solutions
- Mark as New
- Bookmark
- Subscribe
- Mute
- RSS Feed
- Permalink
- Report Inappropriate Content
Each PARAMETER requires 1 DF, but a classification variable that has k levels requires k-1 DF. For example, if a classification variable has the values 'A', 'B', and 'C', that variable uses two DF.
- Mark as New
- Bookmark
- Subscribe
- Mute
- RSS Feed
- Permalink
- Report Inappropriate Content
Each ML estimate in Proc Logistic is free to vary, therefore it has 1 degree of freedom (itself).
If you look in the "Deviance and Pearson Goodness-of-Fit Statistics" you will see that the value in the DF column is the sum of the degrees of freedom in the individual estimates.
- Mark as New
- Bookmark
- Subscribe
- Mute
- RSS Feed
- Permalink
- Report Inappropriate Content
Can you please suggest some reference book, I didn't get it exactly.
- Mark as New
- Bookmark
- Subscribe
- Mute
- RSS Feed
- Permalink
- Report Inappropriate Content
A reference book on PROC LOGISTIC or to Basic Statistics?
In regards to PROC LOGISTIC, I recommend Proc Logistic Using SAS by Paul D Allison
A good introduction to statistics in SAS is SAS Statistics by Example by Ron Cody
- Mark as New
- Bookmark
- Subscribe
- Mute
- RSS Feed
- Permalink
- Report Inappropriate Content
Each PARAMETER requires 1 DF, but a classification variable that has k levels requires k-1 DF. For example, if a classification variable has the values 'A', 'B', and 'C', that variable uses two DF.