Problem 55760. Reproduce this plot!

Created by Renee Coetsee

Solve Later

{"parts":[{"partUri":"/matlab/document.xml","contentType":"application/vnd.mathworks.matlab.code.document+xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\"?><w:document xmlns:w=\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\"><w:body><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>Write a function that will take a dataset (x,y), a best fit model (model), and the upper and lower prediction bounds (lb,ub) for the model and produces a plot exactly like the one above. Your function should return the figure handle as output.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr w:name=\"height\" w:val=\"611\"/><w:attr w:name=\"width\" w:val=\"770\"/><w:attr w:name=\"verticalAlign\" w:val=\"baseline\"/><w:attr w:name=\"altText\" w:val=\"\"/><w:attr w:name=\"relationshipId\" w:val=\"rId1\"/></w:customXmlPr></w:customXml></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>To run the function, use these variables for </w:t></w:r><w:r><w:rPr><w:rFonts w:cs=\"monospace\"/></w:rPr><w:t>x</w:t></w:r><w:r><w:t>, </w:t></w:r><w:r><w:rPr><w:rFonts w:cs=\"monospace\"/></w:rPr><w:t>y</w:t></w:r><w:r><w:t>, </w:t></w:r><w:r><w:rPr><w:rFonts w:cs=\"monospace\"/></w:rPr><w:t>model</w:t></w:r><w:r><w:t>, </w:t></w:r><w:r><w:rPr><w:rFonts w:cs=\"monospace\"/></w:rPr><w:t>lb</w:t></w:r><w:r><w:t>, and </w:t></w:r><w:r><w:rPr><w:rFonts w:cs=\"monospace\"/></w:rPr><w:t>ub</w:t></w:r><w:r><w:t>.</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"code\"/></w:pPr><w:r><w:t><![CDATA[    x = 0:10;\n    y = [1.08459242882334\t15.6947129993263\t14.2386103675462\t6.42746590257512\t31.1493692505068\t28.3500898661844\t36.6199801626288\t32.7960413139854\t48.8539622750404\t40.0146245913800\t53.5578609728933];\n    model = [14.5329684874318\t15.1878864648738\t16.5582980455985\t18.6442032296059\t21.4456020168959\t24.9624944074686\t29.1948804013239\t34.1427599984619\t39.8061331988826\t46.1850000025860\t53.2793604095720];\n    lb = [8.0385 9.3470 10.9611 13.0581 15.7997 19.2858 23.5490 28.5567 34.2089 40.3441 46.7849];\n    ub = [21.0274 21.0287 22.1555 24.2303 27.0915 30.6392 34.8408 39.7288 45.4033 52.0259 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","relationship":null}],"relationships":[{"relationshipType":"http://schemas.mathworks.com/matlab/code/2013/relationships/document","target":"/matlab/document.xml","relationshipId":"rId1"}]}

<div style = "text-align: start; line-height: 20.44px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: none solid rgb(0, 0, 0); white-space: normal; "><div style="block-size: 810.188px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 913.688px 405.094px; transform-origin: 913.695px 405.094px; vertical-align: baseline; "><div style="block-size: 42px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 21px; text-align: left; transform-origin: 384px 21px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="">Write a function that will take a dataset (x,y), a best fit model (model), and the upper and lower prediction bounds (lb,ub) for the model and produces a plot exactly like the one above. Your function should return the figure handle as output.</span></span></div><div style="block-size: 617px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 308.5px; text-align: left; transform-origin: 384px 308.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><img class="imageNode" width="770" height="611" style="vertical-align: baseline;width: 770px;height: 611px" 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" data-image-state="image-loaded"></div><div style="block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="">To run the function, use these variables for </span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="font-family: Menlo, Monaco, Consolas, &quot;Courier New&quot;, monospace; ">x</span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="">, </span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="font-family: Menlo, Monaco, Consolas, &quot;Courier New&quot;, monospace; ">y</span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="">, </span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="font-family: Menlo, Monaco, Consolas, &quot;Courier New&quot;, monospace; ">model</span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="">, </span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="font-family: Menlo, Monaco, Consolas, &quot;Courier New&quot;, monospace; ">lb</span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="">, and </span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="font-family: Menlo, Monaco, Consolas, &quot;Courier New&quot;, monospace; ">ub</span></span><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 0px 0px; transform-origin: 0px 0px; "><span style="">.</span></span></div><div style="background-color: rgb(247, 247, 247); block-size: 102.188px; border-bottom-left-radius: 4px; border-bottom-right-radius: 4px; border-end-end-radius: 4px; border-end-start-radius: 4px; border-start-end-radius: 4px; border-start-start-radius: 4px; border-top-left-radius: 4px; border-top-right-radius: 4px; margin-block-end: 10px; margin-block-start: 10px; margin-bottom: 10px; margin-inline-end: 3px; margin-inline-start: 3px; margin-left: 3px; margin-right: 3px; margin-top: 10px; perspective-origin: 910.688px 51.0938px; transform-origin: 910.695px 51.0938px; margin-left: 3px; margin-top: 10px; margin-bottom: 10px; margin-right: 3px; "><div style="background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 910.688px 10.2188px; transform-origin: 910.695px 10.2188px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; "><span style="margin-inline-end: 0px; margin-right: 0px; ">    x = 0:10;</span></span></div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 910.688px 10.2188px; transform-origin: 910.695px 10.2188px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; "><span style="margin-inline-end: 0px; margin-right: 0px; ">    y = [1.08459242882334	15.6947129993263	14.2386103675462	6.42746590257512	31.1493692505068	28.3500898661844	36.6199801626288	32.7960413139854	48.8539622750404	40.0146245913800	53.5578609728933];</span></span></div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 910.688px 10.2188px; transform-origin: 910.695px 10.2188px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; "><span style="margin-inline-end: 0px; margin-right: 0px; ">    model = [14.5329684874318	15.1878864648738	16.5582980455985	18.6442032296059	21.4456020168959	24.9624944074686	29.1948804013239	34.1427599984619	39.8061331988826	46.1850000025860	53.2793604095720];</span></span></div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 910.688px 10.2188px; transform-origin: 910.695px 10.2188px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; "><span style="margin-inline-end: 0px; margin-right: 0px; ">    lb = [8.0385 9.3470 10.9611 13.0581 15.7997 19.2858 23.5490 28.5567 34.2089 40.3441 46.7849];</span></span></div><div style="background-color: rgba(0, 0, 0, 0); block-size: 20.4375px; border-bottom-left-radius: 0px; border-bottom-right-radius: 0px; border-end-end-radius: 0px; border-end-start-radius: 0px; border-inline-end-color: rgb(233, 233, 233); border-inline-end-style: solid; border-inline-end-width: 1px; border-inline-start-color: rgb(233, 233, 233); border-inline-start-style: solid; border-inline-start-width: 1px; border-left-color: rgb(233, 233, 233); border-left-style: solid; border-left-width: 1px; border-right-color: rgb(233, 233, 233); border-right-style: solid; border-right-width: 1px; border-start-end-radius: 0px; border-start-start-radius: 0px; border-top-left-radius: 0px; border-top-right-radius: 0px; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; min-block-size: 18px; min-height: 18px; padding-inline-start: 4px; padding-left: 4px; perspective-origin: 910.688px 10.2188px; transform-origin: 910.695px 10.2188px; white-space: nowrap; "><span style="block-size: auto; border-inline-end-color: rgb(0, 0, 0); border-inline-end-style: none; border-inline-end-width: 0px; border-inline-start-color: rgb(0, 0, 0); border-inline-start-style: none; border-inline-start-width: 0px; border-left-color: rgb(0, 0, 0); border-left-style: none; border-left-width: 0px; border-right-color: rgb(0, 0, 0); border-right-style: none; border-right-width: 0px; display: inline; margin-inline-end: 45px; margin-right: 45px; min-block-size: 0px; min-height: 0px; padding-inline-start: 0px; padding-left: 0px; perspective-origin: 0px 0px; tab-size: 4; transform-origin: 0px 0px; white-space: pre; margin-right: 45px; "><span style="margin-inline-end: 0px; margin-right: 0px; ">    ub = [21.0274 21.0287 22.1555 24.2303 27.0915 30.6392 34.8408 39.7288 45.4033 52.0259 59.7738];</span></span></div></div></div></div>

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Dyuman Joshi on 10 Oct 2022

There's seems to be an incorrect value for plot color of Data values.

Matt Tearle on 11 Oct 2022

Thanks, Dyuman. I've updated it - hopefully I've *corrected* it :)

Nikolaos Nikolaou on 24 Mar 2023

Is it me being colorblind or there is still a problem with the color of Data values?

Klaiten Kermoade on 27 Mar 2023

Yes, the test for color values seems incorrect for me as well.

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Problem 55760. Reproduce this plot!

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