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: Sales (units) Price ($) Advertising ($) 500 100 50 480 120 40 485 110 45 510 103 55 490 108 40 488 109 30 496 106 45 Use model building to determine the best prediction equation for Sales, based on highest adjusted r 2. Y = 57.87 - 0.10 X 1 + 50 X 2 where X 1 = price and X 2 = advertising. Adjusted r 2 = 0.7268. Y = 578.87 - 0.10 X 1 + 50 X 2 where X 1 = advertising and X 2 = price. Adjusted r 2 = 0.7268. Y = 578.87 - 0.10 X 1 + 50 X 2 where X 1 = price and X 2 = advertising. Adjusted r 2 = 0.7268. Y = 578.87 - 0.10 X 1 + 50 X 2 where X 1 = price and X 2 = advertising. Adjusted r 2 = 0.4268.