Statistical modeling is the process of applying statistical methods to data to create a simplified representation of a real-world phenomenon. These models are used for prediction, inference, and understanding relationships between variables. Common uses include forecasting sales, predicting customer behavior, identifying risk factors in healthcare, and analyzing experimental data in scientific research.
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