From your dataset, specify your input and output variables, then: (a) Suggest an appropriate GLM to model ouput to input variables. (5) (b) Split the dataset into 80% as a trainset and 20% testset, then model the trainset by fitting your proposed GLM. (7) (c) Specify the significant variables on the output variable at the level of 01:0.05 and explore the related hypotheses test. Estimate the parameters of your model. (8) (d) Predict the output of the test dataset using the trained model. And provide the functional form of the optimal predictive model. (6) (e) Propose the appropriate measure of performance to evaluate the model and compute it for your derived model. (4)