Describe some assumptions considered important for linear regression.

Sharad Jaiswal
Sharad Jaiswal

Posted On: Dec 20, 2018

 

Some of the assumptions that are considered important for linear regression are:

  • There exists a linear relationship between the repressors and the dependent variables.
  • The errors within the data need to be normally distributed and independent of each other.
  • There should be a minimal multi-collinearity among the variables.

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