Study Notes: Linear Regression

Chapter 7. Linear Regression Study Notes contains 26 pages covering the following learning objectives:

* Describe the models which can be estimated using linear regression and differentiate them from those which cannot.

* Interpret the results of an OLS regression with a single explanatory variable.

* Describe the key assumptions of OLS parameter estimation.

* Characterize the properties of OLS estimators and their sampling distributions.

* Construct, apply, and interpret hypothesis tests and confidence intervals for a single regression coefficient in a regression.

* Explain the steps needed to perform a hypothesis test in a linear regression.

* Describe the relationship between a t-statistic, it’s p-value, and a confidence interval.

After reviewing these notes you will be able to apply what you learned with practice questions.

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