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
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
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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