APFIVE A researcher conducts a regression analysis with 20 observations. Rank the following statements in the order of their impact on the degrees of freedom used in regression (where degrees of freedom are computed as $$n - 2$$), from most influential to least influential: (a) Overall sample size, (b) Removal of an outlier, © Estimation of two parameters (slope and intercept), and (d) The requirement that $$n$$ is less than 10% of the population.
| Factor | Note |
|---|---|
| (a) Overall sample size | Directly determines degrees of freedom |
| (b) Removal of an outlier | Reduces sample size slightly |
| © Estimation of two parameters | Fixed subtraction from sample size (2) |
| (d) n less than 10% of population | A design condition with no effect |
Removal of an outlier, Overall sample size, Estimation of two parameters, 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
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
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