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
- :
- Lack of Fit missing

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

Highlighted

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

Apr 13, 2018 11:13 PM
(3972 views)

Hi~

When I study fit model, I have a simple problem. As you see below image, I want to know why "Lack of Fit" is not activated, this sample data just from JMP library.

1 ACCEPTED SOLUTION

Accepted Solutions

Highlighted

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

The documentation for the Fit Model Platform has the following statement:

In the following situations, the Lack of Fit report does not appear because the test statistic

cannot be computed:

• There are no replicated points with respect to the X variables, so it is impossible to

calculate a pure error sum of squares.

• The model is saturated, meaning that there are as many estimated parameters as

there are observations. Such a model fits perfectly, so it is impossible to assess lack of fit.

The documentation is available from the pull down menus in JMP:

Help==>Books==>Fitting Linear Models

Jim

2 REPLIES 2

Highlighted

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

The documentation for the Fit Model Platform has the following statement:

In the following situations, the Lack of Fit report does not appear because the test statistic

cannot be computed:

• There are no replicated points with respect to the X variables, so it is impossible to

calculate a pure error sum of squares.

• The model is saturated, meaning that there are as many estimated parameters as

there are observations. Such a model fits perfectly, so it is impossible to assess lack of fit.

The documentation is available from the pull down menus in JMP:

Help==>Books==>Fitting Linear Models

Jim

Highlighted
##

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

Re: Lack of Fit missing

Thanks a lot, I have to study more with Books that you recommanded~

Article Labels

There are no labels assigned to this post.