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Hello! I have 2 measured data points (they are measurements of different observable, not 2 measurement of the same observable), with quite different errors, say ##x_1 = 100 \pm 1## and ##x_2 = 94 \pm 10##. I want to compute the value (and associated uncertainty) of a linear combination of them, say ##y = 0.23x_1 + 0.55x_2##. What is the right way to do it, accounting for their different uncertainties? (This is basically equivalent to fitting the 2 points with a straight line, and extracting the uncertainty on the slope and intercept).