Logarithmic Transformation

Exponential Regression Models: Exponential regression models are statistical models that describe the relationship between two variables using an exponential function. These models can be used to model data where one variable grows or decays exponentially.

Linear Regression Models: Linear regression models are statistical models that describe the relationship between two variables using a straight line. Logarithmic transformation is often used as a preprocessing step before fitting linear regression models to achieve better linearity.

Transformations: Transformations refer to mathematical operations applied to data in order to change its distribution or improve its fit with certain statistical techniques. Logarithmic transformation is just one example of such transformations; others include square root transformation, reciprocal transformation, etc.