Regression models are essential for several reasons:
Control for Confounding: Regression allows researchers to adjust for potential confounders, which are variables that may distort the true relationship between the independent and dependent variables. Predict Outcomes: By understanding the relationship between variables, researchers can predict future outcomes, aiding in prevention and intervention strategies. Identify Risk Factors: Regression helps identify significant risk factors for diseases, guiding public health policies and resource allocation.
