1. MMC's CEO, Dr. Warren A. Beatty (Not the actor) believes that the demand trend for MMC is essentially linear. Thus, he wishes to determine if linear regression would be an effective forecasting method.
a. Calculate a forecast for 2010 using linear regression. Place your results in a worksheet tab named Q2.
b. Based on your calculations, is your model likely to be a valid forecasting tool? Place your answer in tab Q2.
2. Do problem 413 in your text. Create a spreadsheet model and use it for your analysis. Name your spreadsheet tab
3. Do problem 526 in your text. Create a spreadsheet model and use it for your analysis. Name your spreadsheet tab Q4
4. The smallest defect in a computer chip will render the entire chip worthless. Therefore, tight quality control measures must be established to monitor the chips. In the past, the percentage defective for these chips for a Californiabased company has been 1.1%. The sample size is 1,000. Determine the upper and lower controlchart limits for these computer chips. Use z = 3. Create a spreadsheet model and use it for your analysis. Name your spreadsheet tab Q5.
5. Barbara Schwartz's Office Supply Company manufactures paper clips and other office products. Although inexpensive, paper clips have provided Barbara with a high margin of profitability. The percentage defective for paper clips produced by Office Supply Company has been averaging 2.5%. Samples of 200 paper clips are taken. Establish the upper and lower controlchart limits for this process at 99.7% confidence. Create a spreadsheet model and use it for your analysis. Name your spreadsheet tab Q6.
6. Daily samples of 100 power drills are removed from Drill Master's assembly line and inspected for defects. Over the past 21 days, the following information has been gathered. Develop a 3 standard deviation (99.7% confidence) pchart and graph the samples. Is the process in control? Create a spreadsheet model and use it for your analysis. Name your spreadsheet tab Q7.
DAY

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

Number of Defects

6

5

6

4

3

4

5

3

6

3

7

5

4

3

4

5

6

5

4

3

7

7. A random sample of 100 Modern Art dining room tables that came off the firm's assembly line is examined. Careful inspection reveals a total of 2,000 blemishes. What are the 99.7% upper and lower control limits for the number of blemishes? If one table had 42 blemishes, should any special action be taken? Create a spreadsheet model and use it for your analysis.
Name your spreadsheet tab Q8.