4.0 Six Sigma

Correlation and Simple Linear Regression (S014)


Description
This course provides a review of scatter plots, correlation, causation, and an introduction to simple (single predictor) linear regression. Topics include;

- Review: Scatter plots, correlation & causation
- What is simple linear regression
- Analyzing residuals
- Interpreting p-values
- R-Squared values
- Key assumptions
- Interpreting regression results
- Confidence intervals and prediction intervals

Estimated effort: 3 hours (including all videos and optional course elements)

NOTE: For those new to simple linear regression, we encourage you to view the additional (optional) videos that have been included in your course materials.

BEFORE YOU START THE COURSE: Download the files listed on this page (see below). They can also be downloaded at any time during the training from the files TAB located top right of the training screen. You may wish to print the "Presentation Workbook" which is in a 3-slide per page format with sections for taking notes. You may be prompted at various times during the presentation to pause the recording and complete a brief assignment or answer questions. There is also a resource page that contains links to other sites and tools that will be referenced during your training.

COURSE ELEMENTS: Your course includes a main presentation (video), supplemental articles and, if applicable, links to supplemental recommended resources. Note: Your course test is only based on the content provided in the main presentation (video).
Content
  • RPM-S014-Correlation and Simple Linear Regression.wmv
  • Optional Video: Introduction to Linear Regression Analysis (Statistics Fun)
  • Optional Video: Least square method explained (Statistics Fun)
  • Optional Video: How to Calculate R Squared (Statistics Fun)
  • Optional Vi: Standard Error of the Estimate - Mean Square Error (Statistics Fun)
  • Quick Quiz-S014
Completion rules
  • All units must be completed