In order to analyze sales as a function of advertising costs, Rupper Company developed a simple regression model. The model was based on 60 monthly observations of sales and advertising and had a r squared of 90. The model was: Sales = 2.5 A + $10,000 where A is advertising cost If Rupper's advertising cost for next month is projected to be $5,000 they should expect sales to be closest to: 1) $10,000 O2) $22,500 3) $30,000 O 4) $12,500