turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

Find a Community

- Home
- /
- Analytics
- /
- Stat Procs
- /
- MANOVA intercept

Topic Options

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

10-10-2016 11:41 AM

I'm running a MANOVA and I get identical f-values when I ask for the intercept and when I omit it from my statement. This seemed counter intuitive to me, and also to my colleague who uses MANOVA extensively (however he uses SPSS). Can anyone help me understand why this makes no difference? I've included my code below. I'm sure I'm overlooking something basic.

proc glm;

class delay familarity breadth;

model attitude perfave = delay familarity breadth delay*familarity delay*breadth familarity*breadth

delay*familarity*breadth;

manova h= intercept delay familarity breadth delay*familarity delay*breadth familarity*breadth delay*familarity*breadth /summary;

manova h= delay familarity breadth delay*familarity delay*breadth familarity*breadth delay*familarity*breadth /summary;

run;

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to TerrieShaft

10-10-2016 12:57 PM

There are many F values printed, so I'm not sure which ones you are concerned about. Are you talking about the MultStat table?

Run the following program and look in the log to find the name of the tables:

```
proc glm data=sashelp.class;
class sex age;
model weight height = sex | age;
manova h= intercept sex|age /summary;
manova h= sex|age /summary;
run;
```

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to TerrieShaft

10-11-2016 08:46 AM

model weight height = sex | age/ **nouni;**

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Permalink
- Email to a Friend
- Report Inappropriate Content

Posted in reply to Ksharp

10-11-2016 05:39 PM

Thanks. I think I finally sorted it out. SAS fits an intercept b/c of the class variables - I didn't realize it until I tried to specify NOINT (see SAS log details below). I suspected it was including an intercept but this verifies it.

NOTE: Due to the presence of CLASS variables, an intercept is implicitly fitted. R-Square has

been corrected for the mean.