Calculate the Predicted Number of Vehicle Based Peak Hour
I’m working on a engineering test / quiz prep and need an explanation and answer to help me learn.
A simple linear regression model is estimated for shopping-trip generation during a shopping-trip peak hour. The model is:
Number of peak-hour vehicle-based shopping trips per household =
0.12+0.09(HH size) +0.011(annual HH income in $000s) -0.12 (retail employment in neighbourhood-in 100s)
A particular household has 6 members and an annual income of $50,000. They live in a neighbourhood with 450 retail employees. They move to a new home in a neighbourhood with 150 retail employees.
Calculate the predicted number of vehicle-based peak-hour shopping trips the household makes after the move
Find and Plot the Feasible Region in Decision Space Engineeruing Questions
please use excel if necessary QUESTION 2
Consider the following multi-objective linear program:
𝑀𝑎𝑥 𝑍1 = 𝑥 + 𝑦
𝑀𝑖𝑛 𝑍2 = 0.5𝑥 + 𝑦
𝑥 + 𝑦 ≤ 10
𝑥 ― 𝑦 ≤ 6
𝑦 ≤ 8
𝑥,𝑦 ≥ 0
a. Find and plot the feasible region in decision space
b. Plot the corresponding feasible region in objective space. For each extreme point, indicate if it is
non-inferior or dominated
c. Use the constraint method to generate an approximation of the non-inferior set. Generate 6 non-
inferior solutions evenly spaced in terms of 𝑍1.
d. Use the weighting method to generate an approximation of the non-inferior set. Generate 6 non-
inferior solutions (they don’t have to be unique) evenly spaced in terms of the weighting of the two
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