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ZyBooks Respond to these questions in about 200 words 5.1 Introduction to linear regression 5.2 Least squares method 5.3 Linear regression assumptions 5.4 Correlation and

ZyBooks Respond to these questions in about 200 words

5.1 Introduction to linear regression 5.2 Least squares method 5.3 Linear regression assumptions 5.4 Correlation and coefficient of determination 5.5 Interpreting fitted models

Scenario: A real estate agent believes she can determine a home's value (response variable) in a community by knowing the home's size (square feet) (predictor variable).

A. Could the agent use a simple linear regression in this case?

B. What other predictor variables would provide a better result? Explain.

C. What are the differences between the response and predictor variables?

D. Please briefly provide an example where you could use the linear regression in your workplace, community, or home situation. Please explain in detail.

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