Consider a relational dataset and specify your input and output variables ,then:

1. Train the model using 80% of this dataset and suggest an appropriate GLM to model ouput to inputvariables.
2. Specify the significant variables on the outputvariable at the level of=0.05 and explore the related hypotheses test. Estimate the parameters of your model.
3. Predict the output of the test dataset using the trained model. Provide the functional form of the optimal predictive model.
4. Provide the confusion matrix and obtain the probability of correctness of predictions.