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A simple linear regression line represents the line that best “fits” a dataset.

This tutorial provides a step-by-step example of how to quickly add a simple linear regression line to a scatterplot in Excel.

**Step 1: Create the Data**

First, let’s create a simple dataset to work with:

**Step 2: Create a Scatterplot**

Next, highlight the cell range **A2:B21**. On the top ribbon, click the **INSERT **tab, then click **INSERT Scatter (X, Y) or Bubble Chart** in the **Charts** group and click the first option to create a scatterplot:

The following scatterplot will appear:

**Step 3: Add a Regression Line**

Next, click anywhere on the scatterplot. Then click the plus (+) sign in the top right corner of the plot and check the box that says **Trendline**.

This will automatically add a simple linear regression line to your scatterplot:

**Step 4: Add a Regression Line Equation**

You can also add the equation of the regression line to the chart by clicking **More Options.** In the box that appears to the right, check the box next to **Display Equation on chart**.

The simple linear regression equation will automatically appear on the scatterplot:

For this particular example, the regression line turns out to be:

**y = 0.917x + 12.462**

The way to interpret this is as follows:

- For each additional one unit increase in the
*x*variable, the average increase in the*y*variable is**0.917**. - When the
*x*variable is equal to zero, the average value for the*y*variable is**12.462**.

We can also use this equation to estimate the value of *y* based on the value of *x*. For example, when *x* is equal to 15, the expected value for *y* is 26.217:

y = 0.917*(15) + 12.462 = **26.217**

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