Ok so here's the first thing to do.
calculate the avg percentage amel value for
Clutch A
Clutch A B
Clutch A B C
an so on to however many clutches you have, these will be the y values.
Your x values will be the number of clutches used to calculate each y value (e.g there will be an x value paired to every y).
Next, open a new spreadsheet.
In column A place your x values, one in each cell.
In column B place each y adjacent to it's corresponding x value.
E.g. if cell A1 is 1 clutch (1 clutch was used to calculate y) then cell B1 should contain that y value.
Once you have the two columns filled with your data, drag to select all the data in the two columns. They will highlight.
In the command bar at the top there should be an icon with what looks like a bar graph on it, it will say chart wizard when you highlight it, click on it. If the icon is not there, go to view, toolbars and select standard and formatting.
When it opens you will be asked for a chart type. Under the standard chart types tab, choose XY (scatter). click next.
You should see the points plotted out. Hit next again give it a title and name the axes. Hit finish.
Your graph will not be displayed among the cells.
Click on a point. All should be highlighted. Right click on a point and select add trendline.
There are many types to choose from. Linear might work.
In options highlight display equation on chart and display R-squared value on chart (I believe R-squared is from the chi square method you talked about earlier, if not then I'll tell you that the closer R-squared is to 1 the better your data fit the imposed line generally higher than .95 is comsidered a clean fit).
I've been thinking about the nature of your data and it strikes me that 50% amel by these calculations will never be achieved. I think your data will appraoch an asymptote at 50% amel. For this reason the linear equation might not be the best way to represent your data. In the trendline menu you might try fitting a logarithmic line to the data and see how the R-squared value looks.
Anywho, good luck and have a restful vacation.