## Monday, 24 December 2018 Scatter Diagram or Diagram of the Stocking is one of the tools of the Seven QC Tools (7 quality control tools) to test against how the strong relationship between the two variables and define the relationship type of the 2 (two) variables are positive relationships, Negative relationship or no relationship at all. The shape of the Scatter Diagram is a graphical overview that consists of a set of points (points) from the value of a pair of variables (the variables X and Y Variables).

Scatter Charts are often referred to with the Scatter Chart, Scatter plots, and Scatter gram graph.

### Example cases for testing the strength of the relationship between two variables, among others:

1. Relationship between engine speed with quality products.

2. A relationship between the number of labor with the Output generated.

3. The relationship between the number of hours the machine with damage level of disability that occurs.

4. Relationship between the Total overtime hours with attendance rate of labor.

5. The relationship between Attendance with the level of damage to the product.

#### The Steps Create a Scatter Diagram (Diagram Stocking)

The following is the steps that are required in making a Scatter Diagram (Scatter Diagram):

### Data collection

Do the data collection a pair of X and Y that will be studied to do then start entering the data into a table. Undertake the collection of data in excess of 30 couple’s data (n > 30) in order for the level to-accuracy-the higher its skill.

### Making the Horizontal and vertical axis

Specify the maximum value and the Minimum value of the two variables X and Y are then make a vertical axis and Horizontal axis with his scale corresponds to the maximum value and the Minimum value obtained.

### The Promised Data Plotting

Take to the Promised data (plotting data) to a paper that was created in step 2 (step of making the vertical axis and horizontal axis).

### Grant Information

Give the information to Scatter Diagrams such as:

1. Title The Graph

2. The number of data pairs

3. The title and the unit of measurement for the vertical and Horizontal axis

4. Time Interval

5. A person who makes and in charge of the Scatter Diagram.

### An Example of the Case of the Making of the Scatter Diagram

To be more clear about how the making and application of Scatter diagrams, here is an example of the case:

The company has A workforce of as many as 300 people and engaged in the electronics manufacturing industry is facing problems over the high level of damage in production. Suspected that the cause is due to a number of absences operator (labor) in the production. The following is a table of the number of attendance of labor with the extent of the damage.

Based on the example of the case and the table above, then we can create Scatter Charts following the steps mentioned above.

#### Step 1 – data collection

As has been shown in the table above with the data as many as 30 couples data (n = 30)

#### Step 2 – Making the Horizontal and vertical axis

Horizontal axis: the maximum value for a Absences is 6 and the minimum is 1
vertical axis: the maximum value for the level of damage was 5.6 and the minimum is 0.7

Note:

• In order to graphically better, we can debate the limits of maximum and minimum scale

• If you are testing is to do with the quality, then the extent of the damage is better placed on the vertical axis.

#### Step 3 – the Promised Data (Data Plotting)

Do the Promised data in accordance with the table above by way of illustrating the points away from X and Y.

#### Step 4 – granting of the information

Give information and Title Scatter Diagrams like the example below:

Title Scatter Diagram: the relationship between Attendance with the level of damage.
many couples data: n = 30
titles and units measurements:vertical axis = the degree of damage (%),
Horizontal Axis = the amount of Attendance (people)
Time Interval: 01 ~ November 30, 2012
the name Maker/Insurer: Dickson Kho

### How to Read the Scatter Diagram:?

The shape of the graph is produce, then the graph of the Scatter Diagram above stated to have a positive relationship (Positive correlation), meaning the higher the number of Absences of Labor will result in higher damage level anyway. So if you want to reduce the level of damage to the product, one of the actions that should be done is to reduce the level of attendance in the workforce.

## PATTERN SCATTER DIAGRAM

There are three patterns in a Scatter Diagram is as follows:

#### POSITIVE PATTERN SCATTER DIAGRAM

That is the pattern that shows a positive correlation or relationship between Variables X and Y Variables in which values of the variable X is associate with the magnitude of the values of variable Y, while small values of the variable X is associate with values small Variable Y.

#### NEGATIVE PATTERN SCATTER DIAGRAM

That is the pattern that shows the relationship or correlation between Variables negative X and Y Variables. Where large values of the variable X is associate with smaller values of variable Y while small values of the variable X is associate with great values The Variable X.

#### PATTERN DO NOT HAVE relationships (NOT CORRELATED)

That is the pattern that likely do not have a relationship because there is no tendency of certain values on the variable X against certain values on the variable Y.

The following figure 3 types of patterns or relationships in assessing the correlation between X and Y data partner: