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Problem: Linear Regression
Linear regression provides statisticians with an opportunity to model the relationship between an independent variable and 1 or more dependent variables. In the case of 1 dependent variable, the analysis is called simple linear regression. If there are 2 or more explanatory variables, it is called multi-variate or multiple linear regression.
1) A real world example2) Asking a critical thinking question to inspire further discussion3) Introducing additional concepts beyond the initial discussion question
Task
1) Explain the concepts of linear regression, including what you are evaluating, when it should be used, and the differences between a dependent variable and independent variable.
2) Describe 1 example from your own personal or professional experiences where you could apply a linear regression. Discuss how knowing that information helped you.
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