Learning Statistics. Episode 15, Multiple Linear Regression.
(eVideo)
Contributors
Published
[San Francisco, California, USA] : The Great Courses, 2017., Kanopy Streaming, 2019.
Physical Desc
1 online resource (streaming video file) (34 minutes): digital, .flv file, sound
Status
Description
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More Details
Format
eVideo
Language
English
Notes
General Note
Title from title frames.
General Note
Film
General Note
In Process Record.
Participants/Performers
Talithia Williams
Date/Time and Place of Event
Originally produced by The Great Courses in 2017.
Description
Multiple linear regression lets you deal with data that has multiple predictors. Begin with an R data set on diabetes in Pima Indian women that has an array of potential predictors. Evaluate these predictors for significance. Then turn to data where you fit a multiple regression model by adding explanatory variables one by one.
System Details
Mode of access: World Wide Web.
Subjects
LC Subjects
Citations
APA Citation, 7th Edition (style guide)
Williams, T. (2017). Learning Statistics . The Great Courses.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Williams, Talithia. 2017. Learning Statistics. The Great Courses.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Williams, Talithia. Learning Statistics The Great Courses, 2017.
MLA Citation, 9th Edition (style guide)Williams, Talithia. Learning Statistics 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.
Staff View
Grouped Work ID
1985ed3c-6753-838a-c4f7-6dc0c979ed1b-eng
Grouping Information
| Grouped Work ID | 1985ed3c-6753-838a-c4f7-6dc0c979ed1b-eng |
|---|---|
| Full title | learning statistics episode 15 multiple linear regression |
| Author | the great courses |
| Grouping Category | movie |
| Last Update | 2023-09-27 09:56:57AM |
| Last Indexed | 2024-04-30 02:09:54AM |
Book Cover Information
| Image Source | sideload |
|---|---|
| First Loaded | Feb 8, 2024 |
| Last Used | Feb 8, 2024 |
Marc Record
| First Detected | Oct 10, 2019 12:00:00 AM |
|---|---|
| Last File Modification Time | Sep 27, 2023 10:00:43 AM |
MARC Record
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| 520 | |a Multiple linear regression lets you deal with data that has multiple predictors. Begin with an R data set on diabetes in Pima Indian women that has an array of potential predictors. Evaluate these predictors for significance. Then turn to data where you fit a multiple regression model by adding explanatory variables one by one. | ||
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