Hypothesis tests and confidence intervals for normal linear models are based on the as- sumption of normal errors. Recall that normality can be assessed using a normal Q-Q plot comparing the residuals to "ideal" normal observations. Consider the full model for economic dataset on 50 countries, savings, from the faraway package: > g <- 1m (sr data = savings) . 3 > summary (g) Your tasks:
Produce a normal Q-Q plot of the standardized residuals. Do the residuals look normal? Are histograms and boxplots suitable for checking normality? Explain your answer.
Hypothesis tests and confidence intervals for normal linear models are based on the as- sumption of normal errors. Recal
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Hypothesis tests and confidence intervals for normal linear models are based on the as- sumption of normal errors. Recal
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