Learning Statistics: Concepts and Applications in R: Covariance and Correlation
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30m 0s
Language
English
Citations
APA Citation, 7th Edition (style guide)
Talithia Williams., Talithia Williams|ACTOR., & Talithia Williams|WRITER. (2017). Learning Statistics: Concepts and Applications in R: Covariance and Correlation . The Great Courses.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Talithia Williams, Talithia Williams|ACTOR and Talithia Williams|WRITER. 2017. Learning Statistics: Concepts and Applications in R: Covariance and Correlation. The Great Courses.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Talithia Williams, Talithia Williams|ACTOR and Talithia Williams|WRITER. Learning Statistics: Concepts and Applications in R: Covariance and Correlation The Great Courses, 2017.
MLA Citation, 9th Edition (style guide)Talithia Williams, Talithia Williams|ACTOR, and Talithia Williams|WRITER. Learning Statistics: Concepts and Applications in R: Covariance and Correlation The Great Courses, 2017.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouping Information
| Grouped Work ID | 9b06c484-523c-582e-3168-f1a594451968-eng |
|---|---|
| Full title | learning statistics concepts and applications in r covariance and correlation |
| Author | williams talithia |
| Grouping Category | movie |
| Last Update | 2024-07-10 11:12:22AM |
| Last Indexed | 2024-09-28 03:52:59AM |
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[synopsis] => When are two variables correlated? Learn how to measure covariance, which is the association between two random variables. Then use covariance to obtain a dimensionless number called the correlation coefficient. Using an R data set, plot correlation values for several variables, including the physical measurements of a sample population.
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