Question: The regression standard error. Which of the following statements about the regression standard error hold true? (Circle all that apply.)

1. The regression standard error reflects the variation of \(y\) -values about the regression line.
2. The regression standard error is an estimate of the error \((\varepsilon)\) variance \(\sigma^{2}\).
3. The larger the regression standard error is, the better the fitted regression model and the more precise inference about the regression model will be.
4. The regression standard error can never be negative.
5. None of the above, i.e. all of them are false.

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