# Flashcard Set Preview

Side ASide B

tests the null hypotheis that slope = 0.HO: slope (b)= 0

simple linear regression

assumptions for hypothesis testing in regression analysis

RESIDUALS must be1.uncorrelated with one another2. normally distributed3. equal standard deviations

allows you to evaluate the joint and the independent effects of each of several predictor (indepenent) variables

multiple linear regression

tests the HO: bi =0

multiple linear regression

outcomes are continuous

simple and multiple regressoin

outcome measures is dichoomous

logistic regression

pros of simple linear regression

r2

if r2 high then beta is...

significant

cons of multiple linear regression

no r2

pros of logistic regression

covariate analysis

assumptions of logistic regression

independece between subjects