No.

I want to develop a regression model for predicting YardsAllowed as a function of Takeaways, and I need to explain the statistical signifance of the model.

One of the main reasons for doing so is to check that the assumptions of the errors being independent and identically distributed is true. If that is not the case then the simple linear regression is not an appropriate model.

+ Linear regression is a simple statistical process and so is easy to carry out.

+ Some non-linear relationships can be converted to linear relationships using simple transformations.

- The error structure may not be suitable for regression (independent, identically distributed).

- The regression model used may not be appropriate or an important variable may have been omitted.

- The residual error may be too large.

Regression :The average Linear or Non linear relationship between Variables.