Is the Stated Uncertainty Consistent with the Data?

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The discussion revolves around analyzing a set of x and y values with uncertainties to find the best fit line, assess the probability of ruling out a 5% higher slope, and evaluate the consistency of the stated uncertainty with the data. The best fit is determined using chi-squared minimization, yielding results that align with Excel's graphing output. For assessing the higher slope, there is uncertainty regarding the degrees of freedom affecting the chi-squared calculation. The third part involves computing errors in fitting coefficients, but the approach to linking these to the stated uncertainty remains unclear. Additional resources are suggested for understanding the formulas related to slope, intercept, and their uncertainties.
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Homework Statement



I am given a set of x and y values x: (1,2,3,etc.) y: (1.2,2.2,3.1,etc.) with a given uncertainty and am asked

a) find the best fit

b) at what prob can you rule out a 5% higher slope

c) is the stated uncertainty consistent with the data?

Homework Equations





The Attempt at a Solution



I can find the best fit relatively easily by minimizing chi-sqd and setting the derivatives to 0. I am confident in my result as it matches with the graph given by excel.

For part 2 I tried putting a higher value for the given slope into the chi-sqd equation and checking a chart but that didn't give me a reasonable answer (not completely sure about the degree of freedom)

I am not sure how to approach the third part. I have computed the errors in the fitting coefficients but that doesn't seem to play into it.

Thanks,
 
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