You’re going to learn how to create a graphical representation of Linear Regression using Google Sheets. Formulate linear relationships between variables.

**Why use Linear Regression?**

Linear regression helps in predicting the value of a variable based on the value of the other variable if a linear relationship exists between them. In this article, you will go through how you can perform linear regression using Google sheets. But before jumping in, the dependent variable is on the Y-axis and the independent variable on the X-axis.

Follow the steps as described in this article to get a graphical representation along with the equation, as shown below:

**Steps to Perform Linear Regression**

**Step 1:- Prepare and select data**

- To perform regression, you need to have a dataset with a dependent variable (here Profits) and an independent variable (here Year).
- Select the dataset you want to perform linear regression on.
- Left-click on cell
**A1**and drag it down to**B23**along with the titles of the variable columns as shown below:

**Step 2:- Insert Chart **

- Now, click on the
**Insert**tab from the navigation bar. - Select the
**Chart**option to create a graphical representation of the regression.

**Step 3:- Create a scatter plot **

- Now, navigate to the
**Chart type**drop-down menu. - Select
**Scatter chart**as the chart type and select the**Scatter plot**, as shown below :

**Step 4:- Customize the graph settings to visualize**

- To plot the trend line, select the
**Customize**tab - Go to the
**Series**tab for plotting the trend line :

**Step 5:- Plot trendline, equation of graph, and method used for regression analysis **

- Checkmark the
**Trendline**option to see the trend line of the points as seen in the graph below. - Navigate to the
**Label**drop-down menu - Select the
**Use Equation**option to display the equation of the graph. - Tick mark the
**Show R**^{2}^{ }checkbox to demonstrate the R^{2}value of the graph. - The higher the R
^{2}value, the higher is correctness to predict any value and fit to the model.

**See Also**

Plot Multiple Data Ranges on a Single Chart: To plot multiple data ranges on a single graph along with their equations of regression.

Eliminate Duplicates Using Queries in Google Sheets: Learn how to use the Google Sheets Query formula to remove duplicates from the dataset.

**References**