A way to avoid the problem would be to test in a single step all dummy variables corresponding to the same categorical variable rather than one dummy variable at a time, such as in the analysis of ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

The use of dummy variables requires the imposition of additional constraints on the parameters of regression equations if determinate estimates are to be obtained. Among the possible constraints the ...

Second, a multiple linear regression model with dummy variables was used to determine whether FHR parameters changed significantly from their pretreatment levels after betamethasone administration.