Observations are taken on sales of a certain mountain bike in 30 sporting goods stores. The regression model was Y= total sales (thousands of dollars), X,-display floor space (square meters), x2 = competitors, advertising expenditures (thousands of dollars), X3 advertised price (dollars per unit) Predictor Intercept FloorSpace CompetingAds Price Coefficient 1,209.14 12.98 -6.856 -0.1473 (a) Write the fitted regression equation. (Round your coefficient CompetingAds to 3 decimal places, coefficient Price to 4 decimal places, and other values to 2 decimal places. Negative values should be indicated by a minus sign.) FloorSpaceCompetingAdsPrice