In the case of multiple linear regression, we can select more columns of independent variables (like if we wish to see the impact of BMI as well on medical expenses). Select the Input Y range and Input X range (medical expenses and age, respectively).

Click on ‘Data Analysis’ in the ‘Data’ tab.This will add ‘Data Analysis’ tools to the ‘Data’ tab. Select ‘Excel Add-Ins’ in the ‘Manage’ box, and click on ‘Go.’.Method #2 – Analysis ToolPak Add-In MethodĪnalysis ToolPak is sometimes not enabled by default, and we need to do it manually. If the graph gets plotted in reverse order, then either switch the axes in a chart or swap the columns in the dataset. Note: In this type of regression graph, the dependent variable should always be on the y-axis and independent on the x-axis. We can improvise the chart as per our requirements, like adding axes titles, changing the scale, color and line type. Now in the ‘Format Trendline’ pane on the right, select ‘Linear Trendline’ and ‘Display Equation on Chart’.To do this, right-click on any data point and select ‘Add Trendline.’ Now a scatter plot will appear, and we would draw the regression line on this.

Click on ‘Insert’ and expand the dropdown for ‘Scatter Chart’ and select ‘Scatter’ thumbnail (first one).

Select the two columns of the dataset (x and y), including headers.

Let us first see how only age affects medical expenses. Now with an insight into the individuals’ characteristics like age and BMI, we wish to find how these variables affect the medical expenses, and hence use these to carry out regression and estimate/predict the average medical expenses for some specific individuals. Let us say we have a dataset of some individuals with their age, bio-mass index (BMI), and the amount spent by them on medical expenses in a month. You can download this Linear Regression Excel Template here – Linear Regression Excel Template Method #1 – Scatter Chart with a Trendline

Linear regression excel 2013