You can usually get away with the absolute minimum of reporting on your intermediate diagnostic tests. Generally, you will not show tables of graphs from these tests (e.g. residual graphs, collinearity or outlier tables, and the like). Rather, succinctly report what diagnostic tests you did and anything major you did to adjust the regression. This can often be done in a short paragraph.

Overall, it usually suffices to present a fairly concise description of various core statistical findings and then to reflect on what you have found in some depth. This applies to all major statistical analyses in fact. In regression specifically, your report will usually revolve around a single table that integrates fit and slope information, like that seen in Figure 13.29 Example of an integrated and formatted regression table below.

It is very important when reporting major analyses such as a regression that your report flows together as a coherent whole. Many beginners fail to appreciate this, and put together a patchy report that fails to read as an integrated whole.

Finally, reflecting on the practical and – in the case of academic research theoretical – implications of your findings is a key capstone for such analyses. What do your findings mean for management, strategy, your customers, and the like? Can you extrapolate your findings to some key business outcomes as we do in Chapter 17?