Regression equations are usually used to predict values of unavailable data. If the data do not closely model a particular type
of function, then that type of function is not appropriate to use in statistical regression. The more closely data fit a model, the more _______________ predicted values will be. a. accurate
b. quadratic
c. scattered
d. variable
When scatter plot is prepared we decide a very close function which has the smallest deviations from all the points on the graph plotted.
So selecting the line in case of linear regression, exponential wherever necessary or polynomial is very essential for predictions in future to get accurate results.
. If the data do not closely model a particular type of function, then that type of function is not appropriate to use in statistical regression.
Since regression equation is used for predicting an unknown variable for a known variable only the more closely the data fits a model, the more accurate the predicted values would be.
