Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

Megley Cheese Company is a small manufacturer of several different cheese produc

ID: 2692103 • Letter: M

Question

Megley Cheese Company is a small manufacturer of several different cheese products. One of the products is a cheese spread that is sold to retail outlets. Jason Megley must decide how many cases of cheese spread to manufacture each month. The probability that the demand will be six cases is 0.1, for 7 cases is 0.30, 8 cases is 0.5, and for cases is 0.1. The cost of every case is $45, and the price Jason gets for each case is $95. Unfortunately, any cases not sold by the end of the month are of no value, due to spoilage. How many cases of cheese should Jason manufacture each month?

Explanation / Answer

Cost

45

Revenue

95

PRODUCED

COST

PRODUCED

COST

PRODUCED

COST

PRODUCED

COST

6

270

7

315

8

360

9

405

Demand

profit

Expected profit

profit

Expected profit

profit

Expected profit

profit

Expected profit

6

0.1

300

30

255

25.5

210

21

165

16.5

7

0.3

300

90

350

105

305

91.5

260

78

8

0.5

300

150

350

175

400

200

355

177.5

9

0.1

300

30

350

35

400

40

450

45

TOTAL

300

340.5

352.5

317

Producing 8 cases provides the highest total expected profit ($352.50)

the operations manager of a musical instrument distributor feels that demand for bass drums may be related to the number of tv apperances by the popular rock group Green Shades. During the preceeding month. The manager has collected the data to show on the following table

Demands for Bass Drums Green Shades TV appearnaces

3 3

6 4

7 7

5 6

10 8

8 5

a) graph these data to see whether a linear equation migh describe the relationship between the groups television show and bass drum sales.

b) using the equations presented in this chapter comput the SST, SSE and SSR. Find the least squares regression line for this data.

SSR =

(4-3)^2 + (5-6)^2 + (8-7)^2 + (7-5)^2 + (9-10)^2 + (6-8)^2 =

1 + 1 + 1 + 4 + 1 + 4 =

12

SSE =

(4-6.25)^2 + (5-6.25)^2 + (8-6.25)^2 + (7-6.25)^2 + (9-6.25)^2 + (6-6.25)^2 =

6.25 + 2.25 + 2.25 + 0.25 + 6.25 + 0.25 =

17.5

SST = SSR + SSE

SST = 12 + 17.5 = 29.5

Regression line: y = x + 1

C what is your estimate for bass drum sales if the green shades perfomed on tv 6 times last month?

y = x + 1

y = 6 + 1

y = 7

Cost

45

Revenue

95

PRODUCED

COST

PRODUCED

COST

PRODUCED

COST

PRODUCED

COST

6

270

7

315

8

360

9

405

Demand

profit

Expected profit

profit

Expected profit

profit

Expected profit

profit

Expected profit

6

0.1

300

30

255

25.5

210

21

165

16.5

7

0.3

300

90

350

105

305

91.5

260

78

8

0.5

300

150

350

175

400

200

355

177.5

9

0.1

300

30

350

35

400

40

450

45

TOTAL

300

340.5

352.5

317