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ProbabilityQ&A LibraryConsider the following two a.m. peak work trip generation models, estimated by household linear regression: T = 0.62 + 3.1 X1 + 1.4 X2 R2= 0.590 (2.3) (7.1) (5.9) T = 0.01 + 2.4 X1 + 1.2 Z1 + 4.0 Z2 R2= 0.598 (0.8) (4.2) (1.7) (3.1) X1 = number of workers in the household X2 = number of cars in the household, Z1 is a dummy variable which takes the value 1 if the household has one car, Z2 is a dummy variable which takes the value 1 if the household has two or more cars.Start your trial now! First week only $4.99!*arrow_forward*

Question

Consider the following two a.m. peak work trip generation models, estimated by household linear regression:

*T* = 0.62 + 3.1 *X*1 + 1.4 *X*2 * **R*2= 0.590

(2.3) (7.1) (5.9)

*T* = 0.01 + 2.4 *X*1 + 1.2 *Z*1 + 4.0 *Z*2 *R*2= 0.598

(0.8) (4.2) (1.7) (3.1)

*X*1 = number of workers in the household

*X*2 = number of cars in the household,

*Z*1 is a dummy variable which takes the value 1 if the household has one car,

*Z*2 is a dummy variable which takes the value 1 if the household has two or more cars.

Compare the two models and choose the best. If a zone has 1000 households, of which 50% have no car, 35% have one car, and the rest have exactly two cars, estimate the total number of trips generated by this zone. Use the preferred trip generation model and assume that each household has an average of two workers

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