Question 2 (10 marks, 5 each) (a) For large study courses, it is important for the teaching team to be able to identify well in advance students who are having difficulty in studying the course. This enables the team to bring those students back on the right track. Using the data from the courses offered in the past, the team runs a classification algorithm using a logistic regression model in order to classify students into the "fail" or "pass" categories, based on three predictors: studying hours per week spent on the learning site such as Moodle, mid-term exam marks and number of absences from the class. What statistical estimation method can be used to estimate this model? Briefly explain what it is and how to use it. (b) The table below summarizes the estimate of the logistic regression model from part (a) for the probability of "pass" Variable Estimate Intercept -0.05 Hours studied 0.12 Mid-term 0.03 Absence -0.37 2 Under the 0-1 loss, which category would the teaching team classify a student who studies 0.5 hours per week, has a midterm mark of 45 and 6 absences into