Refrigerator prices are affected by characteristics such as
whether or not the refrigerator is on sale, whether or not it is
listed as a Sub-Zero brand, the number of doors (one door or two
doors), and the placement of the freezer compartment (top, side, or
bottom). The table below shows the regression output from a
regression model using the natural log of price as the dependent
variable. The model was developed by the Bureau of Labor
Statistics.
Variable | Coefficient | Standard Error | t Statistic | |||||
Intercept | 5.4800 | 0.12454 | 44.00 | |||||
Sale price | −0.0749 | 0.0222 | −3.37 | |||||
Sub-Zero brand | 1.1350 | 0.1387 | 8.18 | |||||
Total capacity (in cubic ft) | 0.07689 | 0.00608 | 12.64 | |||||
Two-door, freezer on bottom | 0.04725 | 0.07467 | 0.63 | |||||
Two-door, side freezer | Base | |||||||
Two-door, freezer on top | −0.3753 | 0.03813 | −9.84 | |||||
One door with freezer | −0.7522 | 0.1288 | −5.84 | |||||
One door, no freezer | −0.8762 | 0.1362 | −6.43 | |||||
(a) Write the regression model, being careful to exclude the base indicator variable. (Negative amounts should be indicated by a minus sign. Round your answers to 4 decimal places.)
ln(Price) = ______ + ______ SalePrice +______ Sub-Zero ______+ Capacity + ______ 2DoorFzBot ______+ _______2DoorFzTop _____+ ______ 1DoorFz + _______ 1DoorNoFz
(b) Find the p-value for each
coefficient, using 314 degrees of freedom. Using an α =
.05, which predictor variable(s) are not significant predictors?
(Leave no cells blank - be certain to enter "0" wherever
required. Round your answers to 4 decimal
places.)
p-value | |
SalePrice | |
Sub-Zero | |
Capacity | |
2DoorFzBot | |
2DoorFzTop | |
1DoorFz | |
1DoorNoFz | |
(c) By how much does the natural log of refrigerator price
decrease from a two-door, side freezer
model to a two-door, top freezer model?
(Round your answer to 4 decimal places.)
The natural log of the price decreases by
a.
Regression equation:
ln(Price) = 5.48 - 0.0749 SalePrice + 1.1350 Sub-Zero + 0.07689 Capacity + 0.04725 2DoorFzBot - 0.3753 2DoorFzTop - 0.7522 1DoorFz - 0.8762 1DoorNoFz
b.
p-value | ||
SalePrice | 0.000845477 | |
Sub-Zero | 7.1281E-15 | |
Capacity | 6.92486E-30 | |
2DoorFzBot | 0.529152754 | |
2DoorFzTop | 4.32854E-20 | |
1DoorFz | 1.30332E-08 | |
1DoorNoFz | 4.74522E-10 |
P-value is obtained using excel with function =TDIST(test statistic, df, tails). Note that enter absolute value of test statistic.
c.
The natural log of the price decreased by the 0.3753
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