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Multiple Regression (Categorical variables -in regression (categorical…
Multiple Regression
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Assumptions
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Homodescadiscity
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Variance of residulas should be similar across all the scores - high and low outcomes - on the continuum
is the model good at accurately scoring predictors that are low and high scoring - equal across all scores
HOMOSCEDASTICITY
similar variance of residuals (errors) across the variable continuum ( high and low outcomes) equall across all scores in accuracy of prediction
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Outlier effects
Outliers affect the slope and intercept - standardised residual greater than +-2 up to 5% of sample being outliers is okay!
assessing - Casewise Diagnostics - will show this - in the table ie one from 20 p 5% of the sample are outliers - model therefore is robust with less than 5% - anything more = REMOVE
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