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NEWS has gathered data over the last 52 weeks. Two of the data items that have been gathered are Profit and the Number of Defective Items.

Question 1: Using the data given below, complete Task 1 and provide a very brief, general description of whether or not a relationship exists between Profit and the Number of Defective Items.

Task 1: Create a Scatterplot

Step 1. Highlight the two columns of data (Profit, Defective Units)

Step 2. Click the Quick Analysis icon on the bottom right

Step 3. Select Charts and Scatter

Place the Chart below this row

Question 2: Using the data given below, complete Task 2 and provide a statistical description of whether or not a relationship appears to exist between Profit and the Number of Defective Items.

Task 2: Correlation and Regression Fitted Line

Step 1. Place your mouse over any point within your scatterplot above and right click. Then select Add Trendline.

Step 2. Select Linear, then scroll down and Display Equation and R squared Value on Chart

Step 3. Place the values in a visible area of the chart so that they are legible and not covered by any of the data

Determine the Correlation Coefficient (R), using the CORREL function and highlighting each column (Profit, Defective).

Check the Correlation Coefficient (R) by taking the square root (SQRT) of the R squared value in the chart above.

Determine the sign (+ or -) of R based on the direction of the regression line.

Week

Profit (thousands)

Number of Defective Items

1

$ 35.00

974

2

$ 490.00

693

3

$ 777.00

248

4

$ 922.00

277

5

$ 519.00

509

6

$ 520.00

635

7

$ 899.00

200

8

$ 391.00

743

9

$ 577.00

563

10

$ 419.00

715

11

$ 667.00

397

12

$ 399.00

720

13

$ 540.00

659

14

$ 954.00

123

15

$ 1,078.00

8

16

$ 563.00

444

17

$ 619.00

464

18

$ 625.00

483

19

$ 351.00

715

20

$ 674.00

444

21

$ 547.00

639

22

$ 578.00

503

23

$ 609.00

565

24

$ 228.00

785

25

$ 871.00

286

26

$ 188.00

842

27

$ 632.00

480

28

$ 442.00

721

29

$ 442.00

571

30

$ 1,114.00

25

31

$ 864.00

272

32

$ 825.00

241

33

$ 750.00

252

34

$ 615.00

500

35

$ 445.00

674

36

$ 282.00

732

37

$ 409.00

701

38

$ 637.00

401

39

$ 646.00

536

40

$ 999.00

156

41

$ 232.00

824

42

$ 152.00

964

43

$ 874.00

212

44

$ 981.00

218

45

$ 289.00

747

46

$ 771.00

356

47

$ 806.00

303

48

$ 921.00

113

49

$ 150.00

883

50

$ 113.00

910

51

$ 1,084.00

85

52

$ 350.00

745

Statistics and Probability, Statistics

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