bservations are taken on sales of a certain mountain bike in 20 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) Fill in the values in the table given here. (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round your t-values to 3 decimal places and p-values to 4 decimal places.) predictor coefficient SE tcalc p-value intercept 1215.4 381     floorspace 11.335 1.61     competingads -6.005 3.986     price -0.14891 0.8723

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Observations are taken on sales of a certain mountain bike in 20 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) Fill in the values in the table given here. (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round your t-values to 3 decimal places and p-values to 4 decimal places.)

predictor coefficient SE tcalc p-value
intercept 1215.4 381    
floorspace 11.335 1.61    
competingads -6.005 3.986    
price -0.14891 0.8723    
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