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There are various forms.

In linear programming, a dummy variable may be used to convert an inequality into an equation. For example x < 10 can be written as x + u = 10 where u > 0. In this case, it is also called a slack variable.

Dummy variables are used in regression to indicate the presence or absence of a factor, or for binary variables. For example, male/female could be coded numerically as 0/1 where, because the question is binary, the exact coding does not matter.

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How do you interpret coefficient of dummy variable?

To interpret the coefficient of a dummy variable is to follow all of the steps of the equation that is being used as if the dummy variable was a real one.


What does a dummy variable mean?

It is a variable which usually the values 0 and 1 depending on the presence and absence of a particular factor in a set of trails. Similarly, the gender of a person could be coded as 0 (= Male) and 1 (= Female) - or the other way around. The actual coding does not matter but it allows for comparisons between the two sub-sets of the population.


Is the predictor variable plotted on the x axis?

Yes, the predictor variable is placed on the x-axis because the matrix operations used in the method of least squares in linear models require the x-variable be known without error.


Can you use a binary variable as the dependent variable in a regression?

If your dependent variable is dummy coded (binary) then you must use a logistic regression for you analysis. There are two types; logit and probit. Both types return very similar results and your decision on which to use is based on personal preference and discipline standards. Economics and marketing tend to use probit while sociology tends to use logit.


How does sample size affect validity of results in a research?

A large sample reduces the variability of the estimate. The extent to which variability is reduced depends on the quality of the sample, what variable is being estimated and the underlying distribution for that variable.

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