1. What are the four key assumptions which are required for multiple linear regression analysis? (Please refer to articles and videos below)

2. For each of the four assumptions, please state:

a) the problem they would cause if relaxed/not achieved;

b) the test(s) to identify them;

c) the potential fixes.

The video and links are here:

http://www.statisticssolutions.com/assumptions-of-multiple-linear-regression/

http://pareonline.net/getvn.asp?n=2&v=8

https://www.youtube.com/watch?v=wPJ1_Z8b0wk

https://www.youtube.com/watch?v=px72eCYPuvc

Please include references for the answers :)

Thank you