Often you may want to create a scatterplot with a regression line in SPSS, such as the following:

Fortunately this is easy to do and the following step-by-step example shows how to do so.

**Step 1: Enter the Data**

First, let’s enter the following dataset into SPSS that contains information about total ad spend and total sales for 12 different retail stores:

We will create a scatterplot that displays ad spend on the x-axis and sales on the y-axis.

We will then add a regression line to the plot that uses ad spend as the predictor variable and sales as the response variable in the model.

**Step 2: Insert a Scatterplot**

To insert a scatterplot, click the **Graphs **tab, then click **Chart Builder**.

In the new window that appears, do the following:

- Choose
**Scatter/Dot**from the list of charts. - Drag the first scatter plot icon into the Chart Builder area.
- Drag the
**Ad_Spend**variable to the x-axis of the plot. - Drag the
**Sales**variable to the y-axis of the plot. - Check the box next to
**Total**under**Linear Fit Lines**

Then click the **Y-Axis1** under **Edit Properties of**, then type **0** as the **Minimum** value for the Y-axis:

Once you click **OK**, the following scatterplot will be generated:

Notice that the scatterplot displays a blue regression line overlaid on the points in the plot.

The R^{2} value of the regression line is also shown in the top right corner outside of the plot.

**Related:** What is Considered a Good R-squared Value?

**Step 3: Add Regression Line Equation**

To add the regression line equation to the plot, double click anywhere on the plot to bring up the **Chart Editor**.

The double click on the regression line in the chart.

In the new window that appears, click the **Fit Line** tab and then check the box next to **Attach label to line**:

Once you click **Apply**, the regression line equation will be added to the regression line:

We can see that the fitted regression line equation is:

**Sales = 29.63 + 0.76(Ad Spend)**

Here is how to interpret the coefficients of the regression equation:

- When ad spend is zero, expected sales is
**29.63**. - For each additional dollar in ad spend, sales increases by an average of
**0.76**.

**Additional Resources**

The following tutorials explain how to perform other common operations in SPSS:

How to Perform a Correlation Test in SPSS

How to Perform a Breusch-Pagan Test in SPSS

How to Calculate Cook’s Distance in SPSS