This activity allows the user to enter a set of data, plot the data on a coordinate grid, and determine the equation for a line of best fit.
Check the Remove Points box and click on any point to remove it, or remove the coordinates of that point from the text box. Check the Move Points box and click‑and‑drag any point to change its location, or change the coordinates of that point.
When you check the box for Student Guess, a green line will appear on the grid. Drag the green dots to approximate a line of best fit visually. An equation of this line will appear to the right. When you check the box for Computer Fit ared least-squares regression line will be displayed. An equation of this line and the correlation coefficient (r) will appear to the right.
The grid automatically re-scales as points are added. To see a different portion of the grid, highlight the + key and use the mouse to select a rectangular region on the grid to zoom in on. Click the – key to zoom out and double the amount of grid that is shown. Note: The scaling is not consistent in all views. This is a known issue being worked on.
Plot points scored along the horizontal axis and minutes along the vertical axis. Note that you can copy the data from the "Enter Below" column and paste it into the "Update Plot" text box.
Check the Computer Fit box to see a linear approximation of this data. The correlation coefficient (r) indicates how well the line approximates the data. If |r| = 1, the line is a perfect fit to the data; if |r| = 0, the line does not fit the data at all. In general, the closer |r| is to 1, the better the fit.
You can conduct similar investigations for other sports by looking at the statistics for Major League Baseball (MLB), National Football League (NFL), Women's National Basketball Association (WNBA), Major League Soccer (MLS), or other sports that interest you.
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