Understanding explanatory variables

• Investigation of their distribution to identify variables presenting little variability.

• Relationship between explanatory variables themselves

  • Strongly correlated explanatory variables can produce problem when optimization algorithms

• Their relationship with the dependent variable

  • Variable selection/filtering if do not appear to be related to the dependent variable
  • Variable transformation to make linear the relation for example