9. Residual Analysis in Linear Regression
43:07
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9. Residual Analysis in Linear Regression
The lecture covers errors/residuals in a linear regression model including analysis. The assumptions of OLS require normally distributed errors with mean of 0 and iid. The lecture covers the SAS syntax in PROC REG to generated the residuals and perform analysis using PROC UNIVARIATE to test normality and basic plots to check for constant ...
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