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Observations are taken on sales of a certain mountain bike in 30 sporting goods stores. The...

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), X1 = display floor space (square meters), X2 = competitors’ advertising expenditures (thousands of dollars), X3 = advertised price (dollars per unit). Predictor Coefficient Intercept 1,284.18 FloorSpace 11.28 CompetingAds −6.850 Price −0.1492

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Regression model is formed

Y= 1284.18 + 11.28 X1 - 6.850 X2 - 0.1492 X3.

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