Issue 484: Add confidence intervals for slope and intercept in calibration regressions

issues
Status:open
Assigned To:Nick Shulman
Type:Todo
Area:Skyline
Priority:3
Milestone:4.3
Opened:2016-10-26 by Brendan MacLean
Changed:2018-10-15 by Nick Shulman
Resolved:
Resolution:
Closed:
2016-10-26 Brendan MacLean
Title»Add confidence intervals for slope and intercept in calibration regressions
Assigned To»Nick Shulman
Notify»Susan Abbatiello
Type»Todo
Area»Skyline
Priority»3
Milestone»3.6
The slope and y-intercept are shown. That’s awesome. When I was in grad school and had to show my response curves (with regression, slope, y-intercept, etc), I was encouraged to show the confidence interval for both the slope and y-intercept. In this way, if I was plotting the L:H peak area ratio vs the L:H concentration, I “should” get a y=x regression. If it wasn’t m = 1 and b = 0, I could use the confidence intervals (95% or 99%) to see if the actual slope and y-intercept values were within those confidence intervals, and my response was good. Do you think the confidence interval addition would be easy to implement, and/or helpful? I think it would be helpful, but I don’t know if it’s easy and/or if people will think it’s useful.

2018-10-15 Nick Shulman
Milestone3.6»4.3
This seems like it would be straightforward to implement.