Learning Objectives
Upon successful completion of this module, you will be able to:
1) Define regression analysis.
2) Conduct simple descriptive statistics required for regression analysis.
3) Find the absolute minimum of a continuous function needed for derivation of regression models.
4) Take partial derivatives of a function needed for derivation of regression models.
5) Enumerate effective use of regression.
6) Enumerate uses and abuses of regression.
Videos
Title: Prior Knowledge for Regression. Simple Statistics
Summary: This video is about simple statistics as prior knowledge needed for regression. Main items are average, sum of squares total, variance and standard deviation.
Learning Objectives: After watching this video, you should be able to calculate average, sum of squares total, variance and standard deviation.
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Title: Prior Knowledge for Regression: Absolute Minimum of a Function of One Variable.
Summary: Review finding the absolute minimum of a function of one variable.
Learning Objectives: After watching this video, you will be able to find the minimum of a function of one variable.
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Title: Prior Knowledge for Regression: Partial Derivatives
Summary: This video will review partial derivatives.
Learning Objectives: After watching this video, you will be able to find the partial derivatives of a function of more than one variable.
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