In this video, Dr. Richard Chua demonstrates how to evaluate correlation and how to use linear regression. Learn how to use a Fitted Line Plot to show regression.
- Have you ever wondered if speed affects stopping distance…when you hit the brakes?…If it does, then speed is a potential X,…And Y is the stopping distance.…Likewise, in Six Sigma projects,…we want to analyze if the potential X's impact Y.…And can the relationship be quantified in an equation?…This brings us to correlation and regression.…When there is a relationship between two variables,…we say there is correlation.…
The strength of the relationship is quantified…by the Correlation Coefficient,…or Pearson Correlation Coefficient.…It can range from minus one to plus one.…If there is no correlation, the coefficient is zero,…or close to zero.…If one variable increases as the other increases,…then there is Positive Correlation,…and the maximum possible value is plus one.…If one variable decreases as the other increases,…then there is Negative Correlation,…and the maximum possible negative correlation is minus one.…
When running a Hypothesis Test for Correlation,…the null hypothesis is there is no significant correlation,…
Dr. Richard Chua builds upon his Six Sigma Foundations and Learning Minitab courses, and covers an array of topics, including measurement system analysis, descriptive statistics, hypothesis testing, design of experiments, statistical process control, and more.
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- Six Sigma and the organization
- Collecting the voice of the customer
- Project management basics
- Process maps
- Sampling in data collection
- Measurement system analysis
- Measuring performance using descriptive statistics
- Process performance measures
- Hypothesis testing
- Testing for means, variances, proportions, and independence
- Correlation and regression
- Using selection matrices
- Using failure modes and effects analysis
- Developing control plans
- Statistical process control