The relative predictive power of a quadratic model is denoted by R 2 . The value of R 2 varies between 0 and 1. The more close the value is to 1, the more accurate the model is.
Consider the set of data. Determine the quadratic regression for the set.
(–3, 7.5), (–2, 3), (–1, 0.5), (0, 1), (1, 3), (2, 6), (3, 14)
Enter the x -coordinates and y -coordinates in your calculator and do a quadratic regression. The equation of the parabola that best approximates the points is
Plot the graph. You should get a graph like this.
You can see that the R 2 value for the data is 0.9942.