____________________ refers to fitting data to a model so that coefficients for the model can be determined.

Question

Quizplus · Accepted Answer

Model calibration refers to the process of adjusting the coefficients in a model to fit the available data. This is typically done using statistical techniques such as regression analysis, and is essential for making accurate predictions using the model. Variable identification involves determining which variables to include in the model, while hold-out sample estimation and model validation are methods used to evaluate the performance of the model once it has been calibrated.

____________________ Refers to Fitting Data to a Model So That