An electronics company is looking to develop a regression model to predict the number of units sold for a special running watch. Data is provided below: Advertising (5) 50 Price ($) 100 120 110 40 Sales (units) 500 480 485 510 490 488 496 103 40 108 109 106 Use model building to determine the best prediction equation for Sales, based on highest adjusted r 4 Answer Y = 578.87-0.10 X 1 + 50 X 2 where X 1 = price and X 2 = advertising. Adjusted r2 = 0.7268. Y = 578.87-0.10X1 + 50 X 2 where X 1 = price and X 2 = advertising. Adjusted r2 = 0.4268. O Y = 578.87-0.10X1 + 50 X 2 where X 1 = price and X 2 = advertising. Adjusted r2 = 0.7268. O Y = 578.87-0.10 X 1 + 50 X 2 where X 1 = advertising and X 2 = price. Adjusted r2 = 0.7268. O Y = 57.87 -0.10 X 1 + 50 X 2 where X 1 = price and X2 advertising, Adjusted r2 = 0.7268