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 Intercept Sale price Sub-Zero brand Total capacity (in cubic ft) Two-door, freezer on bottom Two-door, side freezer Two-door, freezer on top One door with freezer Coefficient Standard Error t Statistic 0.13158 0.0264 0.1321 0.00634 0.07236 5.4500 -0.0730 1.1554 0.06891 0.05607 Base -0.3875 -0.7079 -0.8768 41.42 8.75 10.87 0.77 0.03848 0.1218 0.1332 -10.07 -5.81 -6.58 e door, no freezer (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.) DoorNoFz (b) Find the p-value for each coefficient, using 320 degrees of freedom. Using an = .05, which predictor variable(s) are not significant predictors? (Leave no cells blank be certain to enter "O" wherever required. Round your answers to 4 decimal places.) p-value SalePrice Sub-Zero Capacity 2DoorFzBot 2DoorFzTop DoorFz DoorNoFz