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).
(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 | 1,225.4 | 397.3 | |||
FloorSpace | 11.522 | 1.33 | |||
Competing Ads | -6.935 | 3.905 | |||
Price | -0.14955 | 0.08927 | |||
(b-1) What is the critical value of Student's
t in Appendix D for a two-tailed test at α = .01?
(Round your answer to 3 decimal places.)
t-value =
(b-2) Choose the correct option.
Only Price differs significantly from zero.
Only CompetingAds differs significantly from zero.
Only FloorSpace differs significantly from zero.
Get Answers For Free
Most questions answered within 1 hours.