A lоgistics cоmpаny is аnаlyzing the relatiоnship between the weekly fuel cost (in dollars) and the total number of delivery hours across their fleet of vehicles. They want to use the data to predict fuel cost using delivery hours. A data analyst examined the past records and summarized the findings below. (Assume the scatterplot shows a linear trend.) Variable Mean Std Dev Delivery Hours 12 2 Fuel Cost 840 120 Pearson’s Correlation: 0.70 QUESTION: If the company logs 9 hours of delivery time in a week, what is the predicted fuel cost based on the linear regression line?