In this module, you were introduced to the fundamentals of regression analysis. One of the requirements of regression analysis is that a linear relationship is assumed (or established) between the variables in a paired dataset. In the final example provided in the notes, you were shown how changing a variable to its logarithmic equivalent can help to create data that exhibit linear relationships and can be used reliably in a regression analysis.

Reflecting on what you have learned, answer the following questions:

• Can you think of other ways in which non-linear relationships can be adapted to better suit the requirements of regression analysis?
• Do you think linear regression analysis is always a viable way to explain the variation in dependent variables? Why?