Step 2: Sketch the line that appears to most closely follow the data. To find the equation of best fit by hand, use these steps to help you. If you used the data set above, you should get y=−0.66x+15.28. Now, using the steps illustrated in this concept, determine the equation of best fit using your graphing calculator. Here is a sample table for the scatterplot. You do not have a table, so you need to estimate the values from the scatterplot. Also find the equation of best fit by hand. Then, use both equations to find the sales for 2010 and compare your answers. Use the following data set and find the equation of best fit with the graphing calculator. Plug into the linear regression equation, y=267.4x+2939.55īecause we cannot have a fraction of a home run, round up to 9625. Use the same equation found in Step 4 above (y=267.4x+2939.55) to predict the number of home runs hit in 2015. Y= and enter in the equation from Step 4: Step 5: If you would like to plot the line on the scatterplot, press Therefore, the equation of the line is y=267.4x+2939.55. To the calculator, a is the slope and b is still the y−intercept. L1 is 2nd 1, L2 is 2nd 2 and the comma is the button above the 7. Step 3: You will be taken back to the main screen. Step 2: Select 4:LinReg(ax+b). Press ENTER. Step 1: After completing steps 1-5 above (to make the list), press STAT and then arrow over to the CALC menu. To find the equation of best fit: (In the TI 83/84, it is also called Linear Regression, or LinReg) Now you can find the equation of best fit for the data, with a graphing calculator. Your plot should look something like this. If this is the case, press ZOOM and scroll down to 9:ZoomStat. To change these, scroll down to Xlist (for example), and press 2nd 1 (L1). 2nd 2 is L2. Make sure the Xlist is L1 and the Ylist is L2. Then, select the first option for the Type of stat plot. Turn Plot1 on by highlighting On and pressing ENTER. To do this, arrow down to the equation and press CLEAR. Step 7: Clear any equations that are in the Y=. Your screen should look something like this when you are done. Then, repeat with L2 and the total home run numbers. Enter all the entries into L1 (years) first and press enter between each entry. Step 4: Now, enter the data into the lists. To do this, arrow up to L1 so that it is highlighted (black). If there are any current lists, you will need to clear them. Step 2: In EDIT, select 1:Edit…. Press ENTER.
The x−values will be List1, or L1 and the y−values will be List2, or L2. In the graphing calculator, you will need to enter each ordered pair as an x−value and a y−value. Recall that an ordered pair is a point, (1990, 3317), for example. Let's make a scatterplot using a graphing calculator. \)īelow is a table for the total number of home runs hit from 1990-2000.
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