Given a set of data as x and y, find the RMS value between the data and its best fit curve from a first degree polynomial
Example
x = [1:10] y = [2 7 3 5 9 11 1 6 2 0]
bestfit_RMS = 3.3379
Nice problem Swapnali! Since it has a floating-point answer, you should specify how many significant digits you're looking for, or include a tolerance term in your test suite.
Thanks Ned. Can you please show me how can I add a torelance term for the answer in test suite?
something like this:
assert(abs(BestFit(x,y)-y_correct)<1e-5)
please allow for tolerance in precision of test case answers
Rounding gives me serious trouble on this test. I have tried a variety of methods that all "appear" to return the correct answer, however the assertion fails.
can anyone tell me why this isnt working? i rounded to pass one test#.I understand this is a problem. But what else am i missing? precision problem? thanks
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