Content deleted Content added
No edit summary |
No edit summary |
||
Line 1:
In [[statistics]], a '''linear probability model''' is a special case of a [[binomial regression]] model. Here the [[dependent and independent variables|observed variable]] for each observation takes values which are either 0 or 1. The probability of observing a 0 or 1 in any one case is treated as depending on one or more [[dependent and independent variables|explanatory variables]]. For the "linear probability model", this relationship is a particularly simple one, and allows the model to be fitted by [[simple linear regression]].
The model assumes that, for a binary outcome ([[Bernoulli trial]]), ''Y'', and its associated vector of explanatory variables, ''X'',<ref name=Cox>Cox, D.R. (1970) ''Analysis of Binary Data'', Methuen. ISBN 0416-10400-2(Section 2.2)</ref>
| |||