A scatter graph is a graph that displays the relationship between two quantitative variables. It plots data points as dots on a graph, allowing you to analyze patterns, trends, and relationships between the variables.
A scatter graph, also known as a scatter plot or scatter diagram, is a type of graph used to display the relationship between two quantitative variables. It shows the individual data points as dots on a graph, with one variable plotted along the x-axis and the other variable plotted along the y-axis.
Here's how a scatter graph works:
1. Variables: Identify the two variables you want to examine. For example, you might want to analyze the relationship between the amount of study time and test scores.
2. Plotting the data: For each observation or data point, plot the corresponding value of one variable on the x-axis and the corresponding value of the other variable on the y-axis. Each data point is represented by a dot on the graph.
3. Patterns: Look for patterns or trends in the data points. If the dots cluster together in a recognizable shape or pattern, it suggests a relationship between the variables. Different patterns can indicate different types of relationships, such as positive or negative correlations, linear or nonlinear relationships, or clusters that suggest different groups or categories.
4. Interpretation: Analyze the scatter graph to draw conclusions about the relationship between the variables. Are the variables positively or negatively related? Is the relationship strong or weak? Are there any outliers or influential points that may affect the analysis?
Scatter graphs are commonly used in various fields, such as statistics, science, finance, and social sciences, to visualize and analyze relationships between variables.