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2 (a) Find the best linear (straight line) fit to the data in the table below. Assume that the measurement uncertainty (in y) is

 

2 (a) Find the best linear (straight line) fit to the data in the table below. Assume that the measurement uncertainty (in y) is the same 0.13 for all of the data points. (there is no uncertainty in x, the independent variable) Note: do not use some python fitting function - do the sums and calculation in your code. (b) At what probability level can you rule out a 5 percent larger slope? (c) Is the stated uncertainty in each of the observations (6) consistent with the data? (Marks: 7) X y 1.0 1.1 2.0 1.9 3.0 3.0 4.0 3.9 5.0 5.1 6.0 6.2 7.0 6.9

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