How to Add Line of Best Fit in Google Sheets: A Step-by-Step Guide

Adding a line of best fit, also known as a trendline, in Google Sheets is a piece of cake! It’s a fantastic way to visualize the relationship between two sets of data on a graph. All you need is a scatter plot, and with a few clicks, Google Sheets will calculate and display the line that best represents your data. Ready to dive in? Let’s go!

Step by Step Tutorial: Adding Line of Best Fit in Google Sheets

Before we jump into the steps, let’s understand what we’re aiming for. A line of best fit helps us see patterns in scatter plots by drawing a straight line that best represents the data points. It’s like connecting the dots in the most balanced way possible. Now, let’s get that line on your chart!

Step 1: Select your data

Click and drag to highlight the data you want to use for your scatter plot.

When selecting your data, make sure you have two columns: one for the independent variable (usually the x-axis) and one for the dependent variable (usually the y-axis). This will ensure that Google Sheets can accurately plot your data points.

Step 2: Insert a chart

Click on “Insert” in the top menu and select “Chart.”

Google Sheets will automatically choose a chart type based on your data, but for a line of best fit, we need a scatter plot. You can change the chart type in the next step if needed.

Step 3: Change to a scatter chart

If necessary, click on the “Chart editor” on the right, go to “Setup,” and select “Scatter chart” from the “Chart type” dropdown menu.

Scatter charts are perfect for displaying and analyzing the relationship between two different sets of data, which is why we need one for our line of best fit.

Step 4: Add the trendline

In the “Chart editor,” switch to the “Customize” tab, scroll down to “Series,” and check the “Trendline” box.

After adding the trendline, you can further customize it by changing its color, line style, and even extending it beyond your data range for forecasting purposes.

Step 5: Customize your trendline (optional)

Still in the “Series” section, you can choose the type of trendline, label it, and decide on the appearance and precision.

If you’re working with more complex data, you might want to explore different types of trendlines, like linear, exponential, or polynomial. These options can help you get a more accurate representation of your data’s trend.

Once you’ve completed these steps, you’ll see a line of best fit added to your scatter plot. It’ll show you the general direction of your data and can help you make predictions or spot trends.

Tips for Adding Line of Best Fit in Google Sheets

  • Make sure your data is clean and well-organized before starting. This will save you from headaches later on.
  • If you have a lot of data points, consider removing outliers to get a better fit.
  • Play around with the trendline options to see which type best suits your data.
  • Use the trendline’s equation to make predictions about future data points.
  • Remember that the line of best fit is just an estimate, and there will always be some degree of error.

Frequently Asked Questions

What is a line of best fit?

A line of best fit is a straight line drawn through the center of a group of data points on a scatter plot. It shows the general direction of the data and can be used to make predictions.

Can I add a line of best fit to other types of charts?

Typically, lines of best fit are used with scatter plots, but you might be able to add a similar trendline to other chart types, depending on the data and what you’re trying to analyze.

What if my data doesn’t seem to fit a straight line?

If your data doesn’t look linear, try using a different type of trendline, such as exponential or polynomial, to see if it fits better.

Can I extend the line of best fit beyond my data?

Yes, you can adjust the settings in the “Trendline” section to extend the line. This can be useful for making forecasts based on your data.

What does the trendline’s equation mean?

The equation represents the mathematical relationship between the x and y variables. You can use it to calculate expected y values for given x values within or outside your data range.


  1. Select your data
  2. Insert a chart
  3. Change to a scatter chart
  4. Add the trendline
  5. Customize your trendline (optional)


Now that you’ve got the lowdown on how to add a line of best fit in Google Sheets, you’re well on your way to becoming a data analysis pro! Not only does this tool help you visualize trends in your data, but it also gives you the ability to make informed predictions, which can be incredibly valuable in both academic and professional settings.

Having the ability to quickly and effectively analyze data trends is a powerful skill in our data-driven world. Whether you’re a student working on a science project, a marketer analyzing consumer behavior, or just someone who loves to crunch numbers, mastering the art of the trendline is a must.

Remember to experiment with different types of trendlines and customization options to get the most out of your data. And don’t forget, while trendlines can give us great insights, they’re estimates that come with a degree of uncertainty.

So go ahead, give it a try, and watch as that simple line transforms your scatter plot into a treasure map of insights. Who knows what exciting trends and predictions you’ll uncover with the power of Google Sheets at your fingertips!

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