where Yi is the dependent variable, defined by a dummy variable either 1 or 0. The value of 1 denotes the probability of an event occurring rather than another as shown by the value of 0. Xi is the vector of independent variables for ith observation, a is the intercept parameter, B is the vector of the regression parameter 1981). The regression coefficients estimate the impact of the independent variables on the probability of an event that occurs. positive sign for the coefficient means that the variable increases the probability of the event occurring, a negative sign signifies the opposite. The maximum likelihood estimates of the parameters were obtained employing logistic explanatory power of the model is assessed using the model