A logistic regression or "logit" was used to anaylze changes in household income between Christian Louboutin Boots and 2008. This is a form of multivariate regression that was developed to study relationships in which the dependent response variable can have only a limited number of values, such as yes true or no false. In this model, the dependent variable indicated whether an individual's real per capita household income Christian Louboutin Black Short Boots 2008 dollars was lower in 2008 than it had been in 1998 1 yes; 2 no. The model measured the likelihood of observing the dependent variable having a value of 1 "yes" when a particular independent variable was changed, given that every other independent variable was held constant at its mean value. The model estimated Christian Louboutin black slingback sandals coefficient also called a parameter estimate for each independent variable and calculated the standard error of the estimate. The standard error measures how widely the coefficients are likely to vary from one observation to another. In general, the greater the absolute value of the parameter estimate, the more likely Christian Louboutin Black Slippy Leather Pumps is to be statistically significant. By custom and convention, a variable is considered to be statistically significant if there is less than a 5% probability that the observed relationship between the independent and dependent variables occurred by pure chance.The regression model also generates for each independent variable a statistic called an odds ratio.
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