BUSINESS ANALYTICS

Business Case: Multiple Regression and Predictive Modelling Regression technigue has been commonly used to regress predictors against response to formulate a predictive model. Hence, the use of multiple regression has been commonly used in various modelling technigues that includes machine learning. In this simulated scenario, a data analyst works to data mined a database on e- hailing company based on the factors of riders age, distance traveled, time traveled against the variable price/fee charge for each ride which is dependent on timing of ride and matching of e-hailing passengers with the available drivers on the street. The data has been collected over 15 rides and shown in table 2 below. [km] 1 61 3.2 223 2 24 15 125 3 7| oz | 5 29 4 | 3% | s | 58 | 362 5 23 L e | 2.3 19.1 6 | s | 3 | e1 | 385 7 7 | e s | 12 66.9 8 | 3 | 11 I 18 | 73 8 I T 0.8 8 0 | 4 | o | 17 | i 11 15 28 24.3 12 7 15 25 221 13 19 | a0 | 4.2 44.3 4 | 4 | 19 | 38 | 23 15 39 T 10.2 611 Table 2: Factors and Price of Ride of E-Hailing