turn on suggestions

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

Showing results for

- JMP User Community
- :
- Discussions
- :
- I am receiving Lost DFs, Biased and Zeroed paramet...

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
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Aug 10, 2015 9:21 AM
(2281 views)

1 ACCEPTED SOLUTION

Accepted Solutions

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Aug 10, 2015 9:44 AM
(1720 views)

Solution

Basically I think what is happening when you see the "biased" and "zeroed" results is you are specifying more terms in the model than you have sufficient degrees of freedom to estimate. So JMP gives you these messages...kind of a gentle reminder to insure that the model you are specifying can indeed be estimated by the data you have collected. You may want to check out the "Fitting Linear Models" JMP Help book devoted to this very broad topic.

6 REPLIES

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Aug 10, 2015 9:44 AM
(1721 views)

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Aug 10, 2015 10:13 AM
(1512 views)

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Aug 10, 2015 11:11 AM
(1512 views)

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Aug 11, 2015 5:57 AM
(1512 views)

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Aug 17, 2015 7:51 AM
(1512 views)

I would recommend that you do series of Y by X fit on each of the variable and see what the outputs give you. Bear in mind that depending on your data type (numeric,,,continuous, character...nominal, etc) the selected analysis that will be conducted will vary and that depends on your data type.

Jenkins Macedo

- Mark as New
- Bookmark
- Subscribe
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Sep 1, 2015 10:36 AM
(1512 views)

There is useful information in the "biased" and "zeroed" messages. Lets say there are two terms in your model A and B (I know you are looking at 3-way interactions but this is just easier for explanation). If the 2 terms are collinear (aliased, correlated, take your pick of terminology) then statistically the effects of A and B can not be estimated independently of each other. This problem can be overcome by putting either A or B (but not both) in the model. Effectively this is what JMP is doing for you - if it puts A in the model and excludes B then A will be labelled as biased and B will be labelled as zeroed.

-Dave