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- Understand the simple linear regression model, the usage and the assumption
- Understand the method of least squares, know the least square estimate (LSE) and the properties of the fitted line
- Know the relationship between LSE and MLE under Normal model
- Know how to make and interpret inferences/predictions in Simple Regression
- Understand the difference between Correlation Model and regression model
- Apply graphic methods as well as formal statistical tests for studying the appropriateness of a model
- Understand the need for joint estimation and simultaneous inferences
- 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 register for 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. You should also have a headset, preferably with a microphone (you can purchase these for less than $30 at any electronics store), which will allow you to engage in online conversations with professors as needed.
Software Requirements: You will be required to have access to R. R is freely available open source statistical analysis environment. The first course in the online certificate program is an introduction to R. It includes information on downloading and installing R.
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| Course ID/# : 1885/UANA1014 |
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Fee: $1,000.00
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