Business Analytics for Decision Making Coursera Week 3 Quiz

In this blog you will find the correct answer of the Coursera quiz Business Analytics for Decision Making Coursera Week 3 Quiz mixsaver always try to bring the best blogs and best coupon codes
 

Week 3 Quiz

 

1.
Question 1
Which of the following statements are true? (select all that apply)

1 point

2.
Question 2
In an optimization model, decision variables are:

1 point

3.
Question 3
In a linear programming model both the objective function and the constraints are formulated as linear functions of the decision variables.

1 point

4.
Question 4
What is the goal in optimization of the transportation problem?

1 point

5.
Question 5
What does the Excel “=SUMPRODUCT(A1:A3,B1:B3)” function do?

1 point

6.
Question 6
What function is used to add the contents of cells A1, A2, and A3?

1 point

7.
Question 7
Suppose that three decision variables are in cells A1, A2, and A3. To add nonnegativity constraints with the Analytic Solver Platform, you click on Constraints in the Optimization Model group, then choose Variable Type/Bound, click on “>=”, and fill out the dialogue as follows:

1 point

8.
Question 8
What is true about the ASP optimization model shown below? :

1 point

9.
Question 9
Which of the following statements are true about a Sensitivity Report?

1 point

10.
Question 10

If the shadow price for a resource constraint is 0, the allowable increase is 200 units, and 150 units of the resource are added, what happens to the objective function value?

1 point

 

11.
Question 11

Which of the following approaches provided by the Analytic Solver Platform can automatically run multiple optimization while varying model parameters (e.g., the right hand side of a constraint) within a prespecified range?

1 point

 

12.
Question 12

A bar chart is an effective way of visualizing the use of a resource in an optimal solution, where colors represent how the resource is used and the height represents how much of the resource is used.

1 point

 

 

Week 3 Application Assignment – Linear Optimization

 

1.
Question 1

A paper recycling company converts newspaper, mixed paper, white office paper, and cardboard into pulp for newsprint, packaging paper, and print stock quality paper. The following table summarizes the yield for each kind of pulp recovered from each ton of recycled material.

This table shows that, for instance, a ton of newspaper can produce either 0.85 tons of newsprint pulp or 0.80 tons of packaging pulp. The following table shows the processing costs per ton, the purchase cost, and the availability of the recycled material.

1 point

 

2.
Question 2

The constraints in the optimization model are:

1 point

 

3.
Question 3

The objective function in the optimization model is:

1 point

 

4.
Question 4

Solve the optimization model that results from your answers to questions 13, 14, and 15. What is the total cost for the optimal solution?

1 point

 

5.
Question 5

Generate the Sensitivity Report for the optimal solution and use it to figure out how much should the the recycling company be willing to pay for an additional ton of recycled newspaper. (Hint: To generate the report, go to the Analysis group of the Analytic Solver Platform tab and click on Reports -> Optimization -> Sensitivity. If the report is not there, make sure that the Standard LP Engine was chosen to solve the model.)

1 point

 

 

 

 

 

 

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