I am using the Big Class example for my demonstration. I clear row states so that all rows have their default row state. I launch Bivariate with weight (Y) versus height (X) through Analyze > Fit Y by X. This platform does not respond to Exclude row state changes by default so click the red triangle and select Redo > Automatic Recalc. I click the red triangle and select Fit Line. The results use and show all the observations (rows).
![Capture.PNG Capture.PNG](https://community.jmp.com/t5/image/serverpage/image-id/9118iE342F893AF66DEE4/image-size/large?v=v2&px=999)
I select and hide the observations for females.
![Capture.PNG Capture.PNG](https://community.jmp.com/t5/image/serverpage/image-id/9120i622847A915F88ECB/image-size/large?v=v2&px=999)
The hidden rows disappear from the scatter plot but the regression remains unchanged.
I unhide the selected rows and then exclude them.
![Capture.PNG Capture.PNG](https://community.jmp.com/t5/image/serverpage/image-id/9121iF931EA18E56622EF/image-size/large?v=v2&px=999)
All of the data is shown but the regression uses only the 22 observations for males.
Is this kind of control not what you want?