Flashcards
RDA2- Multiple regression
Flashcards do conjunto (15)
- 1What is simple (linear) regression?A model to predict the single value of one variable from one predictor variable
Regression aims to understand relationships between variables - 2What is Multiple Regression?Extends simple (linear) regression:
-Used to predict values of an outcome from several predictors
-A hypothetical model of the relationship between several variables - 3What is a Beta value?The change in the outcome associated with a unit charge in the predictor
- 4What is a standardised beta value?Tells us the same but expressed as standard deviations
- 5What is 'R' in reference to beta values?The correlation between the observed values of the outcome, and the values predicted by the model
- 6What is R2?The proportion of variance accounted for by the model
- 7What is Adj. R2?An estimate of R2 in the population (shrinkage)
- 8What are the three methods of regression?- Hierarchical
-Forced Entry
-Stepwise - 9What is the definition of hierarchical regression?Experimenter decides the order in which variables are entered into the model
(Known predictors are entered into model first, new predictors are then entered in a separate step, researcher makes the decisions) - 10What is Forced Entry Regression?All predictors are entered simultaneously
The results obtained depend on the variables entered into the model - 11What is Step wise Regression?Predictors are selected using their semi-partial correlation with the outcome
Based on mathematical criteria
Computer selects variables in steps (forwards or backwards) - 12What is the best method of regression?Hierarchical regression:
- Based on theory testing
-Can see the unique predictive influence of a new variable on the outcome because known predictors are held constant in the model - 13What is a disadvantage of hierarchical regression?It relies on the researcher knowing what they're doing
- 14What do the results of regressions show?The importance of individual variables as well as overall model
- 15What is backwards elimination?The method that can be used to eliminate poor predictors in a multiple regression
Informações
- Descrição
- Lecture 9
- Criado por
- Charlotte Back
- Visualizações
- 2
- Avaliação
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