APFIVE In a simple linear regression analysis, degrees of freedom are calculated using the formula $$n - 2$$. Rank the following factors according to their influence on the degrees of freedom, from most to least influential: (a) the overall sample size; (b) the removal of a single outlier; © the number of parameters estimated; (d) the 10% condition for inference.
Removal of an outlier, Overall sample size, Estimation of two parameters, The requirement that n is less than 10% of the population
Overall sample size, Removal of an outlier, Estimation of two parameters, The requirement that n is less than 10% of the population
Estimation of two parameters, Overall sample size, Removal of an outlier, The requirement that n is less than 10% of the population
The requirement that n is less than 10% of the population, Estimation of two parameters, Removal of an outlier, Overall sample size
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