Regression Analysis

home · products · services · search · view cart · contact  
 
  NAVIGATION        
 

Jay Arthur
888-468-1537
303-756-9144
KnowWare International, Inc.
DBA LifeStar

2253 S. Oneida
Ste 3D
Denver, CO 80224

We help people think!

Copyright © 2009



 

When to use regression analysis

The 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

  1. Select the labels and data.
  2. Select Anova and Analysis Tools then Regression Analysis.
  3. Input the confidence level (e.g., 0.95).
  4. Evaluate the Rsquared (>0.80 is a good fit).
  5. Evaluate the F and p values
  6. Get the equation for the fitted data.
  7. Use the equation to predict other values.

Here is an example of the results of running regression analysis in Excel using the QI Macros.

1. Select the data

Select 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:

regression analysis data for excel

2. Click on the QI Macros menu and
choose Anova then Regression Analysis:

Regression Analysis Menu - QI Macros

3. Enter the confidence level (e.g., 0.95) and the QI Macros with Excel will generate the results.

regression analysis in Excel

4. Evaluate the R Square value (0.951).

Regression R Square Analysis

Analysis: If R Square is greater than 0.80, as it is in this case, there is a good fit to the data. Some statistics references recommend using the Adjust R Square value.

Interpretation: R Square of .951 means that 95.1% of the variation in salt concentration can be explained by roadway area. The adjusted R Square of .949 means 94.9%.

5. Evaluate the F and p Values

Regression Analysis F and p values

 

If
Then
p value < a Reject the null hypothesis
p value > a Accept the null hypothesis

In this case, the Signficance F < 0.05, so reject the null hypothesis that the variation of these two data sets are unrelated. The p value for % Paved Roadway, 3E-13 < 0.05, rejects the null hypothesis that they are unrelated.

6. Get the equation for the data.

Click on the line fit plot (below) and right click on one of the %paved roadway points.
Select Add Trendline:

regression line fit plot add trendline

Then choose linear trendline and click on Options to show the equation:

Regression line fit plot add trendline regression line fit plot equation

Excel will display the fitted equation onto the chart (Salt concentration = 17.547*(%roadway area)+2.6765).

regression line fit plot with equation

7. Use the equation for prediction and estimation.

Using the equation, Salt concentration = 17.547*(%roadway area)+2.6765, 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.

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.

Download the FREE 30-day Evaluation copy of the QI Macros Excel SPC Software for Six Sigma

QI Macros - Download with backup CD & User Guide (#230) $139 + S&H
QI Macros - Download Only - No Shipping or Customs Duties (#W230) $139

 

Download
FREE
30-Day Trial



QI Macros SPC Software for Excel

Or Buy It Now
for only $139!
Unconditional
90-Day
Money-Back
Guarantee

Add QI Macros Starter Kit - SPC Software plus training CD and tools book (#275) $197 plus S&H
Add SPC Simplified System - SPC Simplified Book and DVD, Plus SPC Software, Training Cd and Tools Example Book (#285) $297 plus S&H


 
home | products | services | search | sitemap | view cart | contact
QI Macros | Excel SPC Software | SPC Software Free Trial
Control Charts | c Chart | np Chart | p Chart | u Chart
ImR Chart | XmR Chart | XMedianR Chart | XbarR Chart | XbarS Chart | EWMA Chart
Anom Chart | Cusum Chart | Levey Jennings Chart | Moving Average Chart
Histograms | Pareto Chart | Scatter Plot | Run Chart
Box Whisker Plot | Dot Plot | Multivari Chart

Lean Six Sigma Training | Lean Six Sigma Training Denver
Lean Six Sigma Consulting | Lean Six Sigma Consulting Denver
Lean Six Sigma Training Systems | Do-It-Yourself Lean Six Sigma Training