This is the average distance that the observed values fall from the regression line. In this example, 73.4% of the variation in the exam scores can be explained by the number of hours studied and the number of prep exams taken. It is the proportion of the variance in the response variable that can be explained by the explanatory variables. This is known as the coefficient of determination. Here is how to interpret the most relevant numbers in the output: The following output will automatically appear: For Output Range, select a cell where you would like the output of the regression to appear. Check the box next to Labels so Excel knows that we included the variable names in the input ranges. For Input X Range, fill in the array of values for the two explanatory variables. 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 2: Perform multiple 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. Perform the following steps in Excel to conduct a multiple linear regression.Įnter the following data for the number of hours studied, prep exams taken, and exam score received for 20 students: To explore this relationship, we can perform multiple linear regression using hours studied and prep exams taken as explanatory variables and exam score as a response variable. Suppose we want to know if the number of hours spent studying and the number of prep exams taken affects the score that a student receives on a certain college entrance exam. Example: Multiple Linear Regression in Excel Note: If you only have one explanatory variable, you should instead perform simple linear regression. This tutorial explains how to perform multiple linear regression in Excel. Multiple linear regression is a method we can use to understand the relationship between two or more explanatory variables and a response variable.

Data analysis excel regression