This class was created by Brainscape user Erin Riley. Visit their profile to learn more about the creator.
By:
Erin Riley
- decks
- flashcards
- learners
Decks in this class (3)
Exam 1
What are three uses of multiple r...,
What three criteria must be met f...,
How do you calculate sample variance
64
cards
Exam 2
Explain what is meant by the tole...,
When predictors overlap in their ...,
How can you use the approach you ...
46
cards
Exam 3
The overall fobserved in an analy...,
The overall fobserved in an analy...,
Suppose the observed value of a t...
70
cards
More about
multiple regression
- Class purpose General learning
Learn faster with Brainscape on your web, iPhone, or Android device. Study Erin Riley's Multiple Regression flashcards now!
How studying works.
Brainscape's adaptive web mobile flashcards system will drill you on your weaknesses, using a pattern guaranteed to help you learn more in less time.
Add your own flashcards.
Either request "Edit" access from the author, or make a copy of the class to edit as your own. And you can always create a totally new class of your own too!
What's Brainscape anyway?
Brainscape is a digital flashcards platform where you can find, create, share, and study any subject on the planet.
We use an adaptive study algorithm that is proven to help you learn faster and remember longer....
Looking for something else?
Multiple Variable Regression in R
- 3 decks
- 17 flashcards
- 1 learners
Decks:
Multiple Linear Regression In R, Logistic Regression, Bias, And more!
7. Linear Regression
- 3 decks
- 43 flashcards
- 1 learners
Decks:
71 Introduction To Linear Regression, 72 Goodness Of Fit And Hypothesis Test, 73 Predicting Dependent Variables And Fu, And more!
SOAL NBR Multiple Comprehensive
- 5 decks
- 255 flashcards
- 113 learners
Decks:
Nbr Multiple Comprehensive, Inbr Multiple Comprehensive Cont D, Nbr Multiple Comprehensive Cont D 2, And more!
R Multiple Variable Regression in R
- 3 decks
- 17 flashcards
- 1 learners
Decks:
Multiple Linear Regression In R, Logistic Regression, Bias, And more!
