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 depend
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.
- A real world example
- Asking a critical thinking question to inspire further discussion
- Introducing additional concepts beyond the initial discussion question
- 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.
- 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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