Hi,
I am looking for a way to easily obtain the slope of a regression fit and its 90 or 95% confidence intervals, without using JSL/scripting.
My current experimental design looks a bit like this:
outcome measure (4 different measures, on the same y-axis/scale, let's call them concentration 1-4)
x-axis measure: time in days
grouped by:
production type (2 factors)
temperature (2 factors)
production site (2 factors)
In total I thus need 32 different regression fits (4 outcome measures per unique group factor combinations, with 8 unique group factor combinations).
Using graph builder I can easily make graphs with have 8 subgraphs, 1 per unique combination, and in each subgraph the 4 different outcome measures.
Using graph builder I can also easily make the linear regression appear and get the formula for the regression, which has the slope of the curve.
Is there a way to also get the confidence interval from this slope in graph builder?
Alternatively I tried to use the "Analysis->Fit Y by X"
This analysis does fit the data and gives me both the slope and confidence interval limits.
But to get these I need to manually select the "fit line" option and then also add the upper and lower limits of the confidence interval to the table, for each and every unique combination and outcome measurement (so a total of 32 times).
This feels like I am doing something quite inefficient.
As I need to to do this a lot more in the future, I'd like to know if this is the best method to do this, or that I am overlooking something.
Ideally I would get a table with the slope of the line of fit together with the confidence limits for each of my combinations so that I can plot the slopes together with the confidence interval.
Any help is greatly appreciated