## What is the Scatter Diagram in 7 QC tools?

→ "Scatter Diagram in 7 QC Tools is a graph in which the values of two variables are plotted along two axes of the graph, the pattern of the resulting points will say the correlation between this two variable is present or not."

### 1) Scatter Diagram in 7 QC Tools:

→ “Scatter Diagram is used to study and identify the possible relationship between
two variables”.
→ Scatter Diagram is used to establish the existence of a correlation, Type of correlation,
and Strength of the relation.

➥ The other name of the Scatter Diagram in 7 QC Tools is
→ Scatter plot
→ Scatter graph
→ a Scatter chart
→ a Scatter gram or
→ Correlation Chart

### 2) Examples of the relation between the two variables in the Scatter Diagram in 7 QC Tools:

→ Weight and Height of a man.
→ Hardness and carbon content in the product.
→ Visual Inspection mistakes and Illumination levels.
→ Child’s height and Father’s height.
→ Curing Temperature and Curing Time

### 3) Steps in Making a Scatter Diagram in 7 QC Tools:

1. Collect data for we have to find a correlation.
2. Choose independent and dependent variable.
3. Construct the Graph and add the titles & trend line.
4. Interpret the Scatter Diagram in 7 QC Tools.

#### ➤ Step 1. Collect data for we have to find a correlation between two variable - Scatter Diagram in 7 QC Tools

→ Here we took 50 reading of curing temperature and curing time for a product
→ We have to find is any correlation is present or not between curing temperature and
curing time.
→ If we have more data sample then it will give the more precise result.

#### ➤ Step 2. Choose Independent and Dependent Variable - Scatter Diagram in 7 QC Tools:

→ The dependent variable is usually plotted along the vertical axis i.e. in Y-axis.
→ The dependent variable also called as a measured parameter.
→ The independent variable and is usually plotted along the horizontal axis i.e. in X-axis.
→ The independent variable also called as a control parameter.

#### ➤ Step 4. Interpret the Scatter Diagram in 7 QC Tools:

→ While we are interpreting the Scatter Diagram then we will found seven different types of
correlation between the two variable.
→ The seven different correlation between dependent and independent variable is
mentioned below :
1. Strong Positive correlation
2. Moderate Positive correlation
3. Weak Positive correlation
4. Strong Negative correlation
5. Moderate Negative correlation
6. Weak Negative correlation
7. Random Pattern (No correlation)
→ [1] Strong Positive correlation between tow variable in the Scatter Diagram:

[2] Moderate Positive correlation between tow variable in the Scatter Diagram:

[3] Weak Positive correlation between tow variable in the Scatter Diagram - 7 QC Tools:

[4] Strong Negative correlation between tow variable in the Scatter Diagram:

[5] Moderate Negative correlation between tow variable in Scatter Diagram:

→ [6] Weak Negative correlation between tow variable in the Scatter Diagram - 7 QC Tools

→ [7] Random Pattern (No correlation) between tow variable in the Scatter Diagram:

### 4) Benefits of a Scatter Diagram in 7 QC Tools:

→ It is beneficial to confirm a hypothesis (assumption) between two variables that these are related or not.
→ Provide both visual and statistical means to test the strength of a potential relationship.
→ Good validation tool.
→ Used for proving the relation between cause. and effect.
→ Plotting the diagram is relatively simple.

### 5) Limitation of the Scatter Diagram in 7 QC Tools:

→ Scatter Diagram are unable to give you the exact extent of correlation.
→ Scatter Diagram does not show you the quantitative measure of the relationship between the variable.
→ This chart does not show you the relationship for more than two variables at a time.

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