Biostatistics- Regression

Biostatistics- Regression Review Of Regressions: Simple, Multiple, Logistic
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tests the null hypotheis that slope = 0.
HO: slope (b)= 0
 
simple linear regression
assumptions for hypothesis testing in regression analysis
 
RESIDUALS must be
1.uncorrelated with one another
2. normally distributed
3. 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
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