![]() Select Regression and click OK.įor Input Y Range, fill in the array of values for the response variable. Once you click on Data Analysis, a new window will pop up. Step 3: Perform simple linear regression.Īlong the top ribbon in Excel, go to the Data tab and click on Data Analysis. If you don’t see this option, then you need to first install the free Analysis ToolPak. To quantify the relationship between these two variables, we can perform simple linear regression. We can see that there is a linear relationship between the two variables – more hours studied is associated with higher exam scores. The number of hours studied is shown on the x-axis and the exam scores are shown on the y-axis. This will automatically produce the following scatterplot: Within the Charts group, click Insert Scatter (X, Y) and click on the first option titled Scatter. Along the top ribbon in Excel go to the Insert tab. Perform the following steps in Excel to conduct a simple linear regression.Įnter the following data for the number of hours studied and the exam score received for 20 students:īefore we perform simple linear regression, it’s helpful to create a scatterplot of the data to make sure there actually exists a linear relationship between hours studied and exam score. To explore this relationship, we can perform simple linear regression using hours studied as an explanatory variable and exam score as a response variable. Suppose we are interested in understanding the relationship between the number of hours a student studies for an exam and the exam score they receive. Example: Simple Linear Regression in Excel This tutorial explains how to perform simple linear regression in Excel. Simple linear regression is a method we can use to understand the relationship between an explanatory variable, x, and a response variable, y.
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