Regression Analysis |
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Jay Arthur
Copyright © 2011
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When to use regression analysisThe purpose of regression analysis is to evaluate the effects of one or more independent variables on a single dependent variable. Regression arrives at an equation to predict performance based on each of the inputs. To run Regression Analysis using the QI Macros
Watch this Regression Analysis in Excel video Here is an example of the results of running regression analysis in Excel using the QI Macros. 1. Select the dataSelect two or more columns with the dependent variable in the first column. Imagine, for example, that a system of roads wanted to to know if the salt concentration in runoff is related to the percent of paved roadway area:
2. Click on the QI Macros menu and
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If
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Then
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| p value < a | Reject the null hypothesis |
| p value > a | Accept the null hypothesis |
The p value for % Paved Roadway, 3E-13 < 0.05, rejects the null hypothesis that they are unrelated.
Using the equation, y = Salt concentration = 2.677 + 17.547*(% paved roadway area), you could predict the salt concentration if the percent of roadway was 1% as Salt concentration = 17.547* (1) +2.6765 = 20.2235 mg/l.
To draw a residuals plot using the residuals data, select the data and then insert a scatter plot using Excel's chart tools:

Residuals Line Fit Plot - select the Predicted Y value and the X values and draw a scatter plot with the QI Macros:

Normal Probability Plot - Select the probability data and draw a scatter with QI Macros:

The QI Macros Statistical Process Control software takes two or more rows/columns of data and formats them in the ideal way for Excel to process them which saves you from having to figure out how to use Excel's Data Analysis Toolpak. Here are some of the statistical analyses you can run.
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