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# How to Calculate R Squared in Microsoft Excel

Microsoft Excel provides powerful tools to calculate R Squared, a key statistic that measures the goodness-of-fit of your regression models. Mastering this calculation is essential for accurate data analysis and interpretation.

## How to Calculate R Squared in Microsoft Excel

Calculating R Squared in Microsoft Excel is a simple process once you learn how it works. Follow these steps to determine the R Squared value for your data accurately:

• ### Step 1. Input Your Data

Begin by entering your data into two columns, one for the independent variable (X) and one for the dependent variable (Y).

• ### Step 2. Create a Scatter Plot

Select your data, go to the “Insert” tab, and choose “Scatter” from the “Charts” group to create a scatter plot of your data points.

• ### Step 3. Add a Trendline

Click on any data point in the scatter plot, then right-click and select “Add Trendline.” In the “Format Trendline” pane, choose the linear option.

• ### Step 4. Display the R Squared Value

In the “Format Trendline” pane, check the box for “Display R-squared value on chart.” Excel will calculate and show the R Squared value on the scatter plot.

• ### Step 5. Verify and Save Your Results

Review the displayed R Squared value to ensure it accurately represents your data. Save your workbook to preserve your chart and calculations.

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## FAQs

### How do I calculate R Squared in Excel?

Create a scatter plot, add a trendline, and select “Display R-squared value on chart.”

### Can I calculate R Squared without creating a chart?

Yes, use the RSQ function by typing “=RSQ(known_ys, known_xs)” with your data ranges.

### What does R Squared represent in Excel?

R Squared measures the goodness-of-fit of your regression model, indicating how well the data points fit the regression line.

### Is it possible to use multiple variables to calculate R Squared in Excel?

Yes, use the LINEST function for multiple regression to get the R Squared value among other statistics.

### How do I interpret the R Squared value?

An R Squared value close to 1 indicates a good fit, while a value close to 0 indicates a poor fit.