Linear regression is a statistical technique that analyzes whether two or more variables are related, as well as the predictive power of the underlying modeling framework. But linear regression requires that the research details both statistical assumptions and statistical limitations. For this discussion, respond to the following questions:
What if a scholarly author presents a regression analysis that contains no mention of assumptions and limitations?
How would you interpret the statistical analysis, the decisions regarding the hypotheses, and the recommendations made by the author?
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