| Scatterplots |
Using a Graphing Calculator for Line of Best Fit |
Question- Draw a scatterplot for the data comparing basketball players shots taken to the number of baskets scored. What conclusions can you make from the scatter plot? |
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| To graph a scatterplot with a TI-83 calculator and determine the line of best fit, complete the following- |
| 1. Use keys STAT - EDIT to access the stats lists and enter the data. Enter Shots in List 1 (L1) and Baskets in List 2 (L2) | ![]() |
| 2. To prepare the screen to view the graph, we must edit the WINDOW. Change the x values to display up to 100 (the largest number of shots were 80) and the y value to 50 (the largest number of baskets were 30) | ![]() |
| 3. To set up the scatterplot access the STATPLOT button and set the plot to ON, the type to SCATTERPLOT (the first choice) the Xlist is going to be List 1 and the YList is going to be List 2. Once the appropriate items are highlighted press ENTER. | ![]() |
| 4. GRAPH. The display should appear as shown. You may TRACE the points by using the TRACE function and the arrows. | ![]() |
| 5. To determine the line of best fit, press STAT - CALC- LinReg - ENTER | ![]() |
| 6. ENTER again and we get the linear regression equation, in other words the best fitting line. | ![]() |
7. Using the equation determined in step 6, we can add the line to the graph by accessing the Y= button and entering Y=.345X-1.406 |
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| 8.GRAPH one more time and the line has been added to the scatterplot. You can use the TRACE function to navigate around the graph. | ![]() |