BY: KATE ALBERTINI AND KATIE FAIRMAN

How to do a Linear Reggression

Why should I do a Linear Regression?

A linear regression will give you a best fit line that enables you to predict points future outcomes of a scenario.

In this scenario, we will show a linear regression for the race distances and times for the dog, Midnight.

Starting your Linear Regression

First on your calculator, go to Y=Highlight Plot 1 at the top of your screen by

pressing EnterNext press Stat and hit 1: EditEnter your x values into L1 and your y values

into L2

Your screen will now look like this:

How to see the scatter plot of your data

Press Window Then set the x min to 0 and the x max to 20 Also set the y min to 0 and the y max to 5This is to insure all the points in the data fit

in the screenHit Graph

A view of your scatter plot

How to calculate the Best Fit Line

Press StatHike over to Calc at the top of your screenPress 4: LinReg(ax+b)

Now press Enter

Your screen will now look like this:

Graphing the Best Fit Line

Press Y=Plug in the linear regression model that you

just calculated

Now press Graph to see the graph of the Best Fit Line

TA-DAAAA!!

Congratulations! You’ve made your Linear Regression

Now you are able to plug in different distances for x and predict how fast Midnight will be able to race the distance!