Learning Statistics. Episode 14, Regression Predictions, Confidence Intervals
(2019, original release: 2017)
Nonfiction
eCourse
Details
PUBLISHED
The Great Courses, 2017
[San Francisco, California, USA] : Kanopy Streaming, 2019
[San Francisco, California, USA] : Kanopy Streaming, 2019
DESCRIPTION
1 online resource (streaming video file) (27 minutes): digital, .flv file, sound
ISBN/ISSN
6733188
LANGUAGE
English
NOTES
Title from title frames
What do you do if your data doesn't follow linear model assumptions? Learn how to transform the data to eliminate increasing or decreasing variance (called heteroscedasticity), thereby satisfying the assumptions of normality, independence, and linearity. One of your test cases uses the R data set for miles per gallon versus weight in 1973-74 model automobiles
Film
In Process Record
Talithia Williams
Originally produced by The Great Courses in 2017
Mode of access: World Wide Web
In English