Students were interested in predicting median taxi cab earnings per week (Fare) for Chicago taxis over a period of several years. Week number was the first predictor (1, 2, 3, 4, ...), and an indicator variable for whether it snowed that week was another predictor (yes, yes, no, no for the first four weeks). Given that the design matrix appears as follows for the first four weeks, what did the model look like? 1 1 1 1 1 2 1 2 1 3 0 0 1 40( (a) Fare = Bo + 31 Week + BiSnow te (b) Fare = Bo + B1 Week + 32iSnow + 3 Week? te (c) Fare = Bo + B1 Week + B2iSnow + 83(Week x iSnow) +e (d) Fare = Bo + B1 Week + 32iSnow + 83 log(Week) +e