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→Classification of Regression models
!style="width:250px"|Multivariable (multiple variables)
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!rowspan="34"|Dependent variable<br>(outcome)
!Continuous
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*'''Multivariable Multiple† linear regression'''
::<math>Y = a + b_1X_1 + b_2X_2 + b_3X_3 + \cdots</math>
!Binary
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*'''Simple binary logistic regression'''
::<math>\log Y = a + bX</math><br>where <math>Y</math> is odds of outcome
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*'''Multiple † binary logistic regression'''
::<math>\log Y = a + b_1X_1 + b_2X_2 + b_3X_3 + \cdots</math><br>where <math>Y</math> is odds of outcome
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!Multinominal<br>≥ 3
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*'''Simple multinominal logistic regression'''
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*'''Multiple† multinominal logistic regression'''
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!Ordinal
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*'''Simple ordinal logistic regression'''
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*'''Multiple† ordinal logistic regression'''
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!Survival time
*'''Multiple proportional hazard regression'''<br>= '''Cox hazard regression'''
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†'Multiple' can be rephrased as 'Multivariable'; <color="red">'''NOT 'Multivariate'!!'''<color="red">
