Modeling Population with Regression on a Graphing Calculator
Key Questions

Answer:
Using a value called
#r# , the regression coefficient.Explanation:
#r# , or the regression coefficient, is a simple value that is used when finding the closeness of a regression equation to the actual data points which it is trying to show a correlation between.#r# will range from#1# to#1# . The closer the value for a regression equation/model is to#0# , the worse the model will be for showing a trend in the data. So a value closer to#1# or#1# for#r# would therefore correspond to a more reliable and accurate equation/model to represent the data.If you have a graphing calculator, such as a TI
#84# , then your math teacher should be able to help you to find an#r# value for a regression (or you can just look it up on www.youtube.com).Just a note for the future: When you are trying to find
#r# , a value may appear noted as#r^2# . This is basically the same concept as#r# , and they both show the closeness of a regression model/equation to the data which it tries to represent. The only difference is that#r^2# is#r# times#r# , or in standard English, the value of the regression coefficient squared.I hope that helps!