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.
NO PLAGIARISM
NO GPT
NO AI
SITE REFERENCES IN DISCUSSION IF ANY USED
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