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This tutorial shows how to create different types of scatterplots in SPSS the right way. With examples, screenshots and practice data.
Step-by-step guide to creating a simple scatterplot in SPSS Statistics. A relevant example is provided to show how to setup the plot, format the plot and produce the graphical output.
- Basic Scatterplot
- Scatterplot with Regression Line
- Grouped Scatterplot
We can create a basic scatterplot in SPSS by clicking on the Graphs tab, then Chart Builder: In the window that pops up, click Scatter/Dot in the Choose from: list. Then drag the first option that says Simple Scatter into the editing window. Drag the variable hours into the x-axis and score into the y-axis: Once you click OK, the following scatterp...
We can also produce a scatterplot with a line of best fit by selecting the option called Simple Scatter with Fit Line in the Chart Builder window: Once we click OK, a scatterplot with a line of best fit will appear: The R2value also appears in the top right hand corner of the plot. This represents the percentage of variation in the response variabl...
Suppose we also have a categorical variable in our dataset, such as gender: In this case, we could create a scatterplot of hours studied vs. exam score, grouped by gender. To do so, we can once again open the Chart Builder and choose Grouped Scatter as the chart type. Once again we’ll place the variable hours on the x-axis and score on the y-axis, ...
Jan 17, 2023 · Basic Scatterplot. We can create a basic scatterplot in SPSS by clicking on the Graphs tab, then Chart Builder: In the window that pops up, click Scatter/Dot in the Choose from: list. Then drag the first option that says Simple Scatter into the editing window. Drag the variable hours into the x-axis and score into the y-axis:
Step-by-step guide to creating a simple scatterplot in SPSS Statistics. A relevant example is provided to show how to setup the plot, format the plot and produce the graphical output.
Jun 30, 2022 · Step 1: Prepare data. We are going to use the NFL data 2020 combine data for this correlation analysis. In particular, we want to see whether there is a relationship between athletes’ height (Ht) and weight (Ht). The following is the screenshot of the data, and you can download the dataset here.