In the field of catalysis, researchers often deal with complex datasets that include multiple variables influencing the rate and selectivity of a catalytic reaction. These variables might include temperature, pressure, catalyst composition, and concentration of reactants. Ridge regression helps in identifying the significant variables by minimizing the impact of multicollinearity and providing more reliable estimates.