Correlation measures the degree and direction of symmetric linear association between two variables (−1 ≤ r ≤ +1), whereas Regression models the functional cause-and-effect relationship to predict a dependent variable from an independent variable (with r² = bᵧₓ × bₓᵧ). Index Numbers measure changes in price/quantity over time (Fisher’s Ideal Index is the Geometric Mean…