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Observations are taken on sales of a certain mountain blke in 30 sporting goods stores. The regression model was Y= total sales (thousands of dollars),

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Observations are taken on sales of a certain mountain blke in 30 sporting goods stores. The regression model was Y= total sales (thousands of dollars), X1= display floor space (square meters), X2= competitors' advertising expenditures (thousands of dollars), x3= advertised price (dollars per unit). (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.) 9= - FloorSpace * - CompetingAds * - Price (b-1) The coefficient of FloorSpace says that each additional square foot of floor space adds about 11.36 to sales (in thousands of dollars). takes away 0.1496 from sales (in thousands of dollars). takes away 11.36 from sales (in thousands of dollars)

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