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12. Can MSE be a negative value? Give reasons.                                                      2
            13. What is the importance of a narrative in a story?                                               2
            14. Imagine that you want to create your first app. Create a list of questions you would develop to decompose
               this task.                                                                                       2
            15. Differentiate between training set and test set.                                                2
            16. “Once the relevant projects have been selected and properly scoped, the next step of the machine learning lifecycle is the
               Design or Build phase.” Briefly explain this phase.                                              2

            Answer any 3 out of the given 5 questions  in 50–80 words each.                 (4 × 3 = 12 marks)
            17. Explain how data storytelling can bring about change using a diagram.                           4
            18. Consider the following data
                x           y
               44          47
               46          48
               48          55
               50          58
               52          49
               Regression Equation: 0.7x + 17.8
               Calculate the RMSE(Root means Square Error) for the above data.
            19. List the considerations which data scientists have to keep in mind during the testing stage.    4
            20. Explain the Cross Validation Procedure? In which situation is it better than a Train Test Split?
            21. (a)  List the steps of creating an effective data story.
               (b)  Which of the following is a better data story? Give reasons.
               Option A:



















               (Source: https://www.crazyegg.com/blog/data-storytelling-5-steps-charts/)
               Option B:






















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