How is Multiple Regression Applied in Nanotechnology Research?
In nanotechnology research, multiple regression is often applied in the following ways:
Experimental Design: Researchers design experiments where several variables are controlled and measured to understand their combined effect on nanomaterial properties. Data Analysis: Collected data from experiments are analyzed using multiple regression models to identify significant predictors and interactions among variables. Simulation and Modeling: Computational models are created to simulate the behavior of nanomaterials, and multiple regression is used to validate and refine these models.
