Learn how multiple regressions can run to analyze possible relationships and develop a valid model to predict future performance in Six Sigma projects.
- Maybe you're wondering how a vehicle's speed…and driver reaction time affects stopping distance,…or maybe you're curious if there is a relationship…between height and weight…and how gender might affect it.…These are questions where there are multiple variables,…or Xs, that possibly affect an outcome or response Y.…Multiple regressions need to be run…to analyze these possible relationships…and develop a valid model to predict future performance.…Let's get started on multiple regression using Minitab.…
To get started, download from the exercise files…the worksheet MultipleRegressionData.mtw, and open it.…Let's deal with the first three columns first.…We have the Y being the Stopping Distance,…and the potential Xs would be the Speed…and Driver Reaction Time.…Let's do a regression.…Go up to Stat menu, Regression,…Regression,…and Fit Regression Model.…The Response is Stopping Distance,…and the predictors are Speed and Driver Reaction Time,…both of which are Continuous.…
We do not have any Categorical predictor X right now.…
Dr. Richard Chua builds upon his Six Sigma: Green Belt, Six Sigma Foundations, and Learning Minitab courses—which are prerequisites to this course—and covers an array of topics, including measurement system analysis, hypothesis testing, response surface methods, displaying improved process capabilities, and more.
- Process flow metrics
- Measurement system analysis
- Calculating process capability
- Hypothesis testing
- Confidence intervals
- Testing for normality
- Designing, conducting, and analyzing full-factorial experiments
- Using fractional factorial experiments for screening
- Displaying improved process capability
Skill Level Intermediate
1. Define Phase
Overview of the Define phase3m 51s
2. Measure Phase
3. Analyze Phase
4. Improve Phase
5. Control Phase
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