When creating dummy variables, a problem that can arise is known as the dummy variable trap. This occurs when we create k dummy variables instead of k-1 dummy variables. When this happens, at least two of the dummy variables will suffer from perfect multicollinearity. That is, they’ll be perfectly correlated. This causes incorrect calculations of regression coefficients and their corresponding p-values. Dummy Variable Trap: When the number of dummy variables created is equal to the number