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

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).

Use Excel to fill in the p-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 p-values to 4 decimal places.)

Predictor

Coefficient

SE

tcalc

p-value

Intercept

1,225.4

397.3

3.084

FloorSpace

11.522

1.330

8.6632

Competing Ads

-6.935

3.905

-1.7759

Price

-0.14955

0.08927

-1.6753

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