Guideline:

• Use R/Rstudio to solve questions and perform analytics.
• Any submission after deadline will not be considered and scored.

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

Q1 Split the dataset into two subsets, consider the first subset as a trainset with 80% of the original data, and the second subset as a testset with 20% of the original data.                                                                                        (10 Marks)

Q2 Model the output variable using an appropriate distribution using trainset, estimate the parameters of the model and predict the output in the testset.

                                                                                                             (20 Marks)

Q3 Apply either Linear or logistic regression to model the output variable on the input variables. Mention which task of the predictive analytics is going to be solved.   

                                                                                                              (20 Marks)

Q4 Specify the significant input variables on the outputvariable at the level of 𝛼=0.05. Estimate the parameters of your model. Predict the output of the test dataset using the trained model. Provide the functional form of the optimal predictive model.

(30 Marks)

 Q5 Propose an appropriate measure to evaluate the performance of your model. Compute this measure for your fitted model.

                                                                                                                                   (20 Marks)