In conducting the initial assessment of the variables for a simple linear regression analysis, it was noticed that one of the variables is not normally distributed. The variable has a high level of positive skewness
Should the regression analysis be continued? Why or why not?
The linear regression will not necessarily be valid as the assumption of normality is violated. One could try to transform the variable, most likely applying the natural log of the variable, which might 'normalize' it. If the variable cannot be transformed or the variable is not normal after transformation, one could apply non-parametric methods to assess the relationship. Spearman's correlation would be a viable option.
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