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
- :
- Re: Extend linear regression line in JMP version 1...

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

Feb 2, 2017 2:21 AM
(941 views)

Hi,

I have a question regarding the Fit Line functionality in version 13.

In version 10, I was able to make graphs with a linear regression line that extended beyond the data points (see figure). However in version 13 the linear regression line stops at the last data point. Is there a setting in version 13 to achieve the extension of the linear regression beyond the last data point?

Thanks!

1 ACCEPTED SOLUTION

Accepted Solutions

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

Feb 8, 2017 8:31 AM
(1724 views)

Solution

I agree with Jim's concerns about extrapolating beyond the range of data observed. However, if you wish to do this you can add in a new row to the table with a value beyond the range of data for just your X variable, and JMP will then extend the line to that point. Since there is no Y value associated with that row this will not change the regression results.

7 REPLIES

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

Feb 2, 2017 3:22 AM
(911 views)

You can use either the annotation tools, or in JSL use the Add Graphics capability to add to the fit line, however, since it is a regression, which is based upon the parameters within the data, and not a forcasting tool, having the fit line project beyond the known data points would be statictically improper. So what you are seeing is a correction of an error in JMP 10.

Jim

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

Feb 8, 2017 8:31 AM
(1725 views)

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

Feb 9, 2017 12:57 AM
(853 views)

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

Feb 17, 2017 8:50 AM
(824 views)

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

Feb 17, 2017 8:56 AM
(822 views)

There are, obviously, times where you want to force the intercept to 0, but a caution: this changes the interpretation of many of the regression statistics that you are looking at. Essentially, by forcing the intercept to be 0, you are saying that the mean is 0 (think of centered/scaled data). This can be especially problematic if you are extrapolating beyond the range of your data.

Another simple way to think of this: think of a plot of height versus weight. You can fit a line to that data. Should that line be forced to go through the (0,0) point? If you have no height, you would not have a weight so it makes sense. However, the linear relationship likely would not hold from the lowest height datapoint to 0. Forcing it to be linear across the entire range can cause problems.

Dan Obermiller

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

Feb 17, 2017 9:08 AM
(819 views)

Highlighted

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

Feb 17, 2017 9:12 AM
(816 views)

You can use **Bivariate** > **Fit Special** command to select a No Intercept trend analysis.

Learn it once, use it forever!