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11 Cards in this Set
- Front
- Back
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tests the null hypotheis that slope = 0.HO: slope (b)= 0
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simple linear regression
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assumptions for hypothesis testing in regression analysis
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RESIDUALS must be1.uncorrelated with one another2. normally distributed3. equal standard deviations
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allows you to evaluate the joint and the independent effects of each of several predictor (indepenent) variables
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multiple linear regression
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tests the HO: bi =0
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multiple linear regression
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outcomes are continuous
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simple and multiple regressoin
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outcome measures is dichoomous
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logistic regression
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pros of simple linear regression
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r2
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if r2 high then beta is...
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significant
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cons of multiple linear regression
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no r2
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pros of logistic regression
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covariate analysis
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assumptions of logistic regression
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independece between subjects
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