Logarithmic regression is a type of regression analysis used when the relationship between variables appears to be logarithmic rather than linear. It involves fitting a logarithmic function to the data to model the nonlinear pattern. This regression technique is particularly useful when the dependent variable’s rate of change is proportional to its current value, resulting in a curved relationship on a logarithmic scale.
