Finding Uncertainty of Theta from Slope 'a' Uncertainty

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This discussion focuses on calculating the uncertainty of the angle Theta derived from the slope 'a' in a linear calibration model defined by the equation V = a * X + b. The user seeks to determine the uncertainty of Theta, expressed as Theta = V/(a*f), given the uncertainty in the slope 'a'. The approach involves using variance propagation techniques, specifically applying the formula var(Theta) = var(X/(a*f)) = var(X/a)/f^2, and leveraging the variance approximation method from Wikipedia to compute var(1/a).

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I am running a test where I start by preforming a calibration to fit the following linear line

V= a * X + b

where: X is Displacement, and V is Voltage reading.

Then, I acquire my data where I measure V and find X based on X = V/a ( the b drops down ), and find an angle Theta = X/f such that Theta = V/(a*f)

My questions is:

If I know that the uncertainty of the slope 'a' is
f8d7fac226210b447148f7cef1e5cd69.png

where
d5c6eeaa7a53d17a89c4dc1f2ebfa3fd.png


How can I find the uncertainty of Theta?


Thank you
 

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