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# Linear Regression

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### Linear Regression

1. 1. BY: KATE ALBERTINI AND KATIE FAIRMAN How to do a Linear Reggression
2. 2. Why should I do a Linear Regression? <ul><li>A linear regression will give you a best fit line that enables you to predict points future outcomes of a scenario. </li></ul><ul><li>In this scenario, we will show a linear regression for the race distances and times for the dog, Midnight. </li></ul>
3. 3. Starting your Linear Regression <ul><li>First on your calculator, go to Y= </li></ul><ul><li>Highlight Plot 1 at the top of your screen by pressing Enter </li></ul><ul><li>Next press Stat and hit 1: Edit </li></ul><ul><li>Enter your x values into L1 and your y values into L2 </li></ul>
4. 4. Your screen will now look like this:
5. 5. How to see the scatter plot of your data <ul><li>Press Window </li></ul><ul><li>Then set the x min to 0 and the x max to 20 </li></ul><ul><li>Also set the y min to 0 and the y max to 5 </li></ul><ul><li>This is to insure all the points in the data fit in the screen </li></ul><ul><li>Hit Graph </li></ul>
6. 6. A view of your scatter plot
7. 7. How to calculate the Best Fit Line <ul><li>Press Stat </li></ul><ul><li>Hike over to Calc at the top of your screen </li></ul><ul><li>Press 4: LinReg(ax+b) </li></ul><ul><li>Now press Enter </li></ul>
8. 8. Your screen will now look like this:
9. 9. Graphing the Best Fit Line <ul><li>Press Y= </li></ul><ul><li>Plug in the linear regression model that you just calculated </li></ul><ul><li>Now press Graph to see the graph of the Best Fit Line </li></ul>
10. 10. TA-DAAAA!!
11. 11. Congratulations! You’ve made your Linear Regression <ul><li>Now you are able to plug in different distances for x and predict how fast Midnight will be able to race the distance! </li></ul>