Adequacy of Regression Models (CHAPTER 06.05)
Adequacy of Linear Regression: Check 4 – Assumption of Random Errors
Summary
This video discusses the adequacy of regression models.
Learning Objective
After watching this video, you will be able to check if the linear regression model satisfies the assumption of random errors, namely, residuals being negative and positive, residuals being random, histogram of residuals following a normal distribution, and that there is no autocorrelation in the data.
Transcript
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All Videos for this Topic
Adequacy of Regression Models: Introduction [YOUTUBE 6:04]
Adequacy of Regression Models : Check One: Plot the Data [YOUTUBE 2:06]
Adequacy of Regression Models : Check Two: Standard Error of Estimate [YOUTUBE 10:00]
Adequacy of Regression Models : Check Three: Coefficient of Determination [YOUTUBE 17:21]
Adequacy of Regression Models : Check Four: Assumption of Random Errors [YOUTUBE 6:32]
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