There are three values you normally need when performing a linear regression: the slope, the Y-intercept and the R^{2} value. Both the slope and the Y-intercept are contained in the regression equation. Each of these, as well as the equation, are displayed when you create a Trendline in Excel 2013.

## Step 1

Enter your data in an Excel worksheet in two columns.

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## Step 2

Select the data by dragging the cursor over the cells. Click the **Insert** tab and then click the **Scatter Chart** icon in the ribbon's Charts group. Select the first **Scatter Chart** in the drop-down menu. A chart based on your data appears in the worksheet.

## Step 3

Right-click any data point in the chart. Select **Add Trendline** from the drop-down menu.

## Step 4

Examine the trendline that now appears on the graph. This can also be called a regression line.

## Step 5

Click the **Display Equation on Chart** check box. The formula that appears on the chart is in the regression equation, in the form **Y = Bx + A** , where:

- Y is the predicted score of any x value.
- B is the line's slope.
- A is the Y-intercept.

In the example shown here, the slope is 0.425. The Y-intercept is 0.785.

## Step 6

Click the **Display R-squared Value on Chart** check box. " The R^{2} value appears on the chart. In this example, the R^{2} value is 0.3929.

The R^{2} value is always a number between 0 and 1. The higher the value, the more accurate the regression equation is. If the R^{2} value is 0, there is no linear relationship between the coordinates. If the R^{2} value is 1, the regression line would be completely accurate.

## Step 7

Copy and paste the regression formula and the R2 value into your Excel worksheet, if desired. To do this, click the Equation's **Text Box** to select it, then drag the cursor over the values you want to copy and paste them into the empty cells by pressing **Ctrl-C** and **Ctrl-V**. To remove the chart, click its border and press **Delete**.