Final answer:
Linear regression is a statistical method used to model the relationship between variables. When this method does not provide the proper fit for data, exponential regression is often considered appropriate.
Step-by-step explanation:
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. However, linear regression may not always provide the best fit for the data, especially when the relationship between the variables is not linear.
In such cases, exponential regression is often considered appropriate. Exponential regression is a type of regression analysis that models the data using an exponential function of the form y = ab^x, where a and b are constants.
Exponential regression is commonly used when the values of the dependent variable increase or decrease at an exponential rate as the independent variable increases.