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. t Statistic Vartable Intercept Sale price Coefficient 5.2700 Standard Error e.12679 41.56 -0.0741 e.0239 -3.10 Sub-Zero brand 1.2056 e.1387 8.69 Total capacity (in cubic ft) Two-door, freezer on bottom Two-door, side freezer Two-door, freezer on top One door with freezer One door, no freezer e.07588 e.00626 e.07222 12.12 e.e5354 0.74 Base -е. зез1 e.03846 -7.88 -e.7693 e.1337 -5.75 -0.8381 e.1529 -5.48 (0) 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.) InPrice)= |SalePrice |Sub-Zero+ Capacity 2DoorFzBot + | 200oorFzTop+ | 1DoorFz+ 1DoorNoFz (b) Find the pvalue for each coefficient, using 302 degrees of freedom. Using an a= .01, which predictor variable(s) are not significant predictors? (Leave no cells blank - be certaln to enter "0" wherever required. Round your answers to 4 decimal places.) p-value SalePrice Sub-Zero Capacity 20oorfz8ot 20oorfzTop 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 mode? (Round your answer to 4 decimal places.) The natural log of the price decreases by