## What is a Scatter Diagram?

→ A scatter diagram is used to validate the relationship between two variables.

→ We can also known as the best validation tool.

→ A scatter diagram or scatter plot gives an idea of the nature of the relationship.

→ It is a type of data visualization that shows the relationship between two variables.

**Table of Content:**

- What is a Scatter Diagram?
- Different Names of Scatter Diagrams
- When to Use a Scatter Diagram?
- How to Construct a Scatter Diagram?
- Types of Correlation in Scatter Diagram
- Download and Terms of Use

## Different Names of Scatter Diagrams:

→ Refer to the below mentioned different names of Scatter Diagram:

- Scatterplot
- Scatter graph
- Scatter chart
- Scattergram
- Scatter diagram

## When to Use a Scatter Diagram?

→ To validate the correlation between two variable

→ Determine whether the two variables are related or not?

→ Identify potential root causes of problems

→ After brainstorming sessions on causes and effects use a fishbone diagram to validate the relation between cause and effect.

→ Identify Patterns or Trends

→ Detect Outliers

→ Compare Multiple Data Sets

## How to Construct a Scatter Diagram?

→ Collect the data points.

→ Draw a graph with the independent variable on the horizontal axis and the dependent variable on the vertical axis.

→ For each pair of data, put a dot or a symbol where the x-axis value intersects the y-axis value.

→ Now observe the pattern of points and identify the relationship between two variables.

→ If the data clearly forms a line or a curve, you may stop because variables are correlated.

→ In our automated Excel template we just need to add x and y data points.

→ The graph will be automatically constructed into the automated scatter diagram Excel template.

→ After that, we need to identify the correlation between the variables.

## Types of Correlation in Scatter Diagram:

→ The scatter plot explains the correlation between two attributes or variables.

→ There can be three below-mentioned correlations are possible between two variables.

- Positive Correlation
- Negative Correlation
- No Correlation

### 01. Positive Correlation:

→ When the points in the graph are rising, moving from left to right, then the scatter plot shows a positive correlation.

→ Now positive correlation can further be classified into three categories:

- Perfect Positive
- High Positive
- Low Positive

### 02. Negative Correlation:

→ When the points in the scatter graph fall while moving left to right, then it is called a negative correlation.

→ There are also three types of correlation are:

- Perfect Negative
- High Negative
- Low Negative

### 03. No Correlation:

→ When the points are scattered all over the graph and it is difficult to conclude whether the values are increasing or decreasing, then there is no correlation between the variables.

## Download and Terms of Use:

**Terms of use:**

→ You can use these templates for your personal and professional use.

→ You can not use these templates for reselling or redistribution.

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