Problem 2259. Best Fit RMS

Created by Swapnali Gujar

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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

Solve

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Last solution submitted on Apr 11, 2019

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Ned Gulley on 31 Mar 2014

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.

Swapnali Gujar on 1 Apr 2014

Thanks Ned. Can you please show me how can I add a torelance term for the answer in test suite?

Ryan on 3 Apr 2014

something like this:
assert(abs(BestFit(x,y)-y_correct)<1e-5)

rifat on 16 Jun 2014

please allow for tolerance in precision of test case answers

Solution Comments

Solution 438173

1 Comment

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Niels on 5 May 2014

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.

Solution 425506

1 Comment

1 Comment

Zikobrelli on 3 Apr 2014

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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Problem 2259. Best Fit RMS

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Problem 2259. Best Fit RMS

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