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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