Statistics using R programming - Test of homoscedasticity in Regression with R

• Statistics using R pro...
Homoscedasticity refers to a condition in which the variance of the residual, or error term, in a regression model is constant. That is, the error term does not vary much as the value of the predictor variable changes.
ncvTest() from package car in R produces a score test of the hypothesis of constant error variance against the alternative that the error variance changes with the level of the fitted values.
spreadLevelPlot() creates a scatter plot of the absolute standardized residuals versus the fitted values and superimposes a line of best fit.
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