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Data Regression with Excel

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August 22, 2015, at 09:46 PM by 174.148.220.158 -
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August 22, 2015, at 03:47 AM by 174.148.85.243 -
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* [[Attach:Excel_nonlinear_regression.zip|Excel Nonlinear Regression Example Spreadsheet]]
August 22, 2015, at 03:43 AM by 174.148.85.243 -
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!!!!Linear and Polynomial Regression
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This regression tutorial can also be completed with [[Main/PythonDataRegression|Python]] and [[Main/MatlabDataRegression|Matlab]]. Click on the appropriate link for additional information.
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!!!!Nonlinear Regression

(:html:)
<iframe width="560" height="315" src="https://www.youtube.com/embed/ke8oVXsD4UM" frameborder="0" allowfullscreen></iframe>
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Both regression tutorials
can also be completed with [[Main/PythonDataRegression|Python]] and [[Main/MatlabDataRegression|Matlab]]. Click on the appropriate link for additional information.
August 21, 2015, at 01:30 AM by 10.10.146.39 -
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!!!!Python Data Regression
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!!!!Excel Data Regression
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August 21, 2015, at 01:15 AM by 10.10.146.39 -
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(:title Data Regression with Excel:)
(:keywords data regression, Excel, spreadsheet, nonlinear, polynomial, linear regression, university course:)
(:description Data Regression with Excel - Problem-Solving Techniques for Chemical Engineers at Brigham Young University:)

!!!!Python Data Regression

A frequent activity for scientists and engineers is to develop correlations from data. By importing the data into Excel, data analysis such as statistics, trending, or calculations can be made to synthesize the information into relevant and actionable information. This tutorial demonstrates how to create a linear or polynomial functions that best approximate the data trend, plot the results, and perform a basic statistical analysis.

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<iframe width="560" height="315" src="https://www.youtube.com/embed/ro5ftxuD6is" frameborder="0" allowfullscreen></iframe>
(:htmlend:)

This regression tutorial can also be completed with [[Main/PythonDataRegression|Python]] and [[Main/MatlabDataRegression|Matlab]]. Click on the appropriate link for additional information.

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