1. A linear regression model to predict driving time was built by a company to help them improve their scheduling of deliveries. Their Business Analytics Consultant developed the following model: F(TIME) = 30.5 + 0.05(SPEED) - 1.2(DRIVER_EXPERIENCE) + .33(TIME_OF_DAY) TIME = Delivery time prediction (in Minutes) SPEED = Average speed limit of the route DRIVER_EXPERIENCE = Length, in months, of how long the driver has worked for the company TIME_OF_DAY = This is an indicator variable there 0 for before 12:00pm and 1 after 12:00pm QUESTION: A new applicant came to the company wanting a job. Using their unique details, please predict after 3 months how long it would take them to deliver a product in the morning at an average speed of 40MPH 30.5 29.68 28.9 41.2

2. What is a goal of Business Analytics? Assign Observations to a Group To explain what has happened in the past Address a business problem or exploit opportunity Unsupervised Learning Algorithm

3. What is the meaning of sensitivity performance measure? Sensitivity = (True positives) / (True positives + False negatives) Proportion of non-fraud transactions to fraud transactions Percentage of non-fraud transactions The true positive rate of fraud transactions that can be detected Number of non-fraud transactions