To create a mathematical model of several data points, you identify the R2 values of different regression types. You find a line
ar regression R2 value of 0.997, a quadratic regression R2 value of 0.776, a power regression R2 value of 0.788, and an exponential regression R2 value of 0.834. Which mathematical model would you use to best fit the data? A.
power model
Given that to create a mathematical model of several data points, the R2 values of different regression types were identified
The different values of R square is given as follows:
LInear ... 0.997
Quadratic ... 0.776
Power regression ...0.788
Exponential ... 0.834
R-squared is a statistical measure of closeness the data are to the fitted regression line. It is also named as the coefficient of determination, 100% indicates that the model explains all the variability of the response data around its mean. And near 100% gives the nearly perfect model.
Here comparing all R square values we find that linear gives the highest R square almost near 1. Hence linear would be used to best fit the data.
