Please enable JavaScript.

Coggle requires JavaScript to display documents.

Complex regression (writeup : (is the overall model significant ? how much…

- - - - MOdel 2: Predictor variables: Computer playing and exercise and sex of child
      - Outcome Variable - aggressive behaviour
      - Model one: control variables _ AGE OF CHILD
    - - look at the first half- model to std error:= while model statistics
        
        Model 1: Confound only
        
        model 2 : confound and predictors
        
        report stats for th final model both the adj r2 model 2 ANOVA
        
        final model is significant F(4,15) =19.9, p< .001, explaining 79.9% of the variability in aggression
      - change statistics the second half_
        
        the change in each model from the previous block in the model: MOdel 1: how does adding the confound predictor change the model, over and above having no predictor?
        
        all predictors together - predictors explain further41.8% of the variability
        
        adding these significantly improves the prediction of the model - over and above the confound (F(3,15)=13.2, p<.001)
        
        MOdel two : how does adding the predictor variables change the model, over and above the confound variable?
        
        age explains 42.4% of the variability in aggressive beaviours - age is significantly better as a predictor of aggression than no predictor atall (F(1,18)=13.2, p=.002)
- - - - the B is the increase in the amount the predictor influences the DV
      - only include signifigant predictors form the final model
    - - Age (t=.74, p=.473)
      - ie extraversion (t=.26, p=.802)