Problem 2259. Best Fit RMS

Created by Swapnali Gujar

Solve Later

{"relationships":[{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/document","targetMode":"","relationshipId":"rId1","target":"/matlab/document.xml"},{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/output","targetMode":"","relationshipId":"rId2","target":"/matlab/output.xml"}],"parts":[{"partUri":"/matlab/document.xml","relationship":[],"contentType":"application/vnd.mathworks.matlab.code.document+xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n<w:document xmlns:w=\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\"><w:body><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>Given a set of data as x and y, find the</w:t></w:r><w:r><w:t> </w:t></w:r><w:hyperlink w:docLocation=\"http://en.wikipedia.org/wiki/Root_mean_square\"><w:r><w:t>RMS</w:t></w:r></w:hyperlink><w:r><w:t> value between the data and its best fit curve from a first degree polynomial</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/></w:pPr><w:r><w:t>Example</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"code\"/></w:pPr><w:r><w:t><![CDATA[ x = [1:10]\n y = [2 7 3 5 9 11 1 6 2 0]\n\n bestfit_RMS = 3.3379]]></w:t></w:r></w:p></w:body></w:document>"},{"partUri":"/matlab/output.xml","contentType":"text/xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\" ?><embeddedOutputs><metaData><evaluationState>manual</evaluationState><layoutState>code</layoutState><outputStatus>ready</outputStatus></metaData><outputArray type=\"array\"/><regionArray type=\"array\"/></embeddedOutputs>"}]}

Solve

Solution Stats

74 Solutions
23 Solvers

Last Solution submitted on Sep 05, 2020

Last 200 Solutions

Problem Comments

4 Comments

4 Comments

Show 1 older comment

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

1 Comment

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

Problem Recent Solvers23

Problem Tags

Problem 2259. Best Fit RMS

Solution Stats

Last 200 Solutions

Problem Comments

Solution Comments

Problem Recent Solvers23

Suggested Problems

More from this Author25

Problem Tags

Problem 2259. Best Fit RMS

Solution Stats

Last 200 Solutions

Problem Comments

Solution Comments

Problem Recent Solvers23

Suggested Problems

More from this Author25

Problem Tags

Players