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Understand the simple linear regression model, the usage and the assumption.
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Understand the method of least squares, know the least square estimate (LSE) and the properties of the fitted line.
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Know the relationship between LSE and MLE under Normal model.
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Know how to make and interpret inferences/predictions in Simple Regression.
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Understand the difference between Correlation Model and regression model.
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Apply graphic methods as well as formal statistical tests for studying the appropriateness of a model.
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Understand the need for joint estimation and simultaneous inferences.
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Be aware of the additional remedial measures to deal with unequal error variances, a high degree of multicollinearity, and influential observations.
- Apply the concepts to a specified dataset.
No application is required to enroll in this course.
Hardware Requirements: You must have a computer and some kind of high-speed internet connection – we recommend a 128mbps connection at a minimum.
Software Requirements: In this course, you will be required to have access to SAS. SAS Studio is freely available through SAS On Demand.
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