A scatter chart, also called a scatter plot or a scattergram, is a type of plot or mathematical diagram. Keep reading to learn more about scatter charts, their benefits, how to create one of your own, and the answer to the question “just how does a scatter chart work?”
What is a Scatter Chart?
A scatter chart is a graphical representation of data in which each data point is represented by a marker. The markers are typically connected by a line. The data is typically plotted on two axes: the horizontal axis represents the independent variable, and the vertical axis represents the dependent variable. The independent variable is the variable that is changed to see the effect it has on the dependent variable. The dependent variable is a variable that is determined by another variable.
How Do you Create a Scatter Chart?
There are a few ways to create scatter charts in Microsoft Excel. The first way is to use the standard scatter chart. The second way is to use a bubble chart. The third way is to use a data label.
To create a scatter chart using the standard scatter chart, first select the data that you want to use for the chart. Then, on the Insert tab, select the scatter chart icon. Excel will create a chart with the default settings. If you want to change the settings, select the chart and then select the Format tab.
How Do you Interpret a Scatter Chart?
When interpreting a scatter chart, it is important to consider the type of relationship that exists between the two variables. There are four possible types of relationships:
Positive linear relationship: A positive linear relationship is one in which the points on the scatter chart tend to move in a straight line and the slope of the line is positive. This type of relationship indicates that as x increases, y also increases.
Negative linear relationship: A negative linear relationship is one in which the points on the scatter chart tend to move in a straight line and the slope of the line is negative. This type of relationship indicates that as x increases, y decreases.
Positive quadratic relationship: A positive quadratic relationship is one in which the points on the scatter chart tend to move in a curved line and the slope of the line is positive. This type of relationship indicates that as x increases, y also increases, but to a greater degree than with a positive linear relationship.
Negative quadratic relationship: A negative quadratic relationship is one in which the points on the scatter chart tend to move in a curved line and the slope of the line is negative. This type of relationship indicates that as x increases, y decreases, but to a greater degree than with a negative linear relationship.
Outliers: Outliers are points on a scatter chart that lie outside of the overall trend of the data. They can be used to identify unusual data points that may need further investigation.
Trends: Trends are patterns that can be seen in the data on a scatter chart. They can be used to make predictions about future values.
What are the Benefits of Using Scatter Charts?
Scatter charts are a great way to visualize data because they show how two different variables are related to each other. This can be helpful when you’re trying to understand how one variable affects another.
For example, let’s say you’re a marketer trying to figure out how to increase sales. You could use a scatter chart to see if there’s a relationship between how much you spend on advertising and how much revenue you generate.
If you find a strong relationship, you can use that information to make informed decisions about how much to spend on advertising. If there’s no relationship, you might want to reconsider your advertising strategy.
Scatter charts are a great way to explore and visualize data, and they can be used for a variety of different purposes. So next time you have some data to visualize, give a scatter chart a try!