Scatter Diagram of Investigative Data

Notice that each sample is represented by two readings, one for fan speed and one for particulate count. In order to plot this data as a scatter diagram, we will measure the fan speed (cause) on the X-axis, and the particulate count (effect) on the Y-axis.

Sample Number

Fan Speed

Particles per Cu Meter

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Sample Number

Fan Speed

Particles per Cu Meter

1

8.1

1046

26

8.0

1040

2

7.7

1030

27

5.5

1013

3

7.4

1039

28

6.9

1025

4

5.8

1027

29

7.0

1020

5

7.6

1028

30

7.5

1022

6

6.8

1025

31

6.7

1020

7

7.9

1035

32

8.1

1035

8

6.3

1015

33

9.0

1052

9

7.0

1038

34

7.1

1021

10

8.0

1036

35

7.6

1024

11

8.0

1026

36

8.5

1029

12

8.0

1041

37

7.5

1015

13

7.2

1029

38

8.0

1030

14

6.0

1010

39

5.2

1010

15

6.3

1020

40

6.5

1025

16

6.7

1024

41

8.0

1031

17

8.2

1034

42

6.9

1030

18

8.1

1036

43

7.6

1034

19

6.6

1023

44

6.5

1034

20

6.5

1011

45

5.5

1020

21

8.5

1030

46

6.0

1025

22

7.4

1014

47

5.5

1023

23

7.2

1030

48

7.6

1028

24

5.6

1016

49

8.6

1020

25

6.3

1020

50

6.3

1026

Table 1 – Particulate Count vs Filter Fan Speed, Number 3 Filter

 

Shown below is the resulting scatter diagram, Figure 4

What can we say about fan speed as a possible cause for variability in particulate levels? From this diagram, it is unclear what the precise nature of this relationship is. It appears as a general rule that as fan speed rises, particulate counts rise.

 

[ Back to "Cause Effect and Scatter Diagrams" ]