Answer:-
To determine which regression equation best fits the data, you analyze the relationship between the variables. Start by plotting the data points on a graph to observe trends. If the data forms a straight line, a linear regression equation ( ???? = ???? ???? + ???? y=mx+b) is suitable. For curved patterns, quadratic ( ???? = ???? ???? 2 + ???? ???? + ???? y=ax 2 +bx+c) or exponential models might fit better. Use statistical software or calculators to compute the regression equation and check the ???? 2 R 2 value. The equation with the highest ???? 2 R 2 indicates the best fit, as it shows how closely the equation matches the data points.
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