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Calculate the mad for each model and determine

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Reference no: EM132146670

Assignment

Using the date provided in problem 12 of chapter 6, develop the projection for wins of the 15 year using the following models:

1. Linear regression

2. Moving Average using a N= 4, and N=6

3. Weight Moving Average with (45%, 30%, 25%)

4. Exponential Smoothing with alpha =20%

Calculate the MAD for each model and determine which model is more aligned with the trend of the values.

Calculate R and F for the Linear regression and make your interpretation.

Problem 12 - Chapter 6

The graduate assistant for the Santa Clara Broncos football team has compiled the following statistics:

YEAR

WINS

AVERAGE OFFENSIVE YARDS

AVERAGE INTERCEPTIONS

1

10

500

2

2

8

450

4

3

5

250

10

4

10

485

1

5

7

399

4

6

11

521

2

7

4

158

15

8

11

525

0

9

8

485

4

10

4

300

9

11

5

350

9

12

7

375

9

13

2

150

15

14

5

380

5

a. Using Excel, develop a linear regression model for wins, employing average offensive yards and average interceptions.

b. Calculate the MAD for your model.

c. Calculate R, F, and t statistics and interpret them.

d. Run tests for multicollinearity,auto corrrelation,and he tero scedasticity.Comment on the

outcomes.

Wk 5

Topic: Economic Order Quantity
Determine the Economic Order Quantity in Excel for:
Price of Product: $150
Savings Rate: 12%
Annual Usage: 16240
Cost of transportation: $200/order
Cost of PO preparation: $60/order
Warehouse Rental: $8/piece

Topic: Linear Programming
Develop problem 1 of chapter 8 using excel or by hand. You need to present the objective and constraints equations. No need to solve it.

Problem 1

The Waikiki Enterprise Corporation produces two types of computersatits manufacturing plant in Torrance, California. Profit on computer A is $900 per unit and for computer B it is $600. The manufacturing plant can produce not more than 50 of computer A and 100 of computer B a day.

The following table displays the capacity for the manufacturing plant.

 

PLANT

CAPACITY TO PRODUCE COMPUTER A

CAPACITY TO PRODUCE COMPUTER B

MAXIMUM AVAILABLE CAPACITY

A Riverview Plant

51

101

18000

Unit profit

$900

$600

 

a. What are the decision variables?

b. What is the objective function?

c. What are the constraints?

d. What are the non-negativity assumptions?

Reference no: EM132146670

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