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Degrees of Freedom in Regression Analysis

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In a simple linear regression analysis, degrees of freedom are calculated using the formula n−2n - 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.

A

Estimation of two parameters, Overall sample size, Removal of an outlier, The requirement that n is less than 10% of the population

B

Overall sample size, Removal of an outlier, Estimation of two parameters, The requirement that n is less than 10% of the population

C

The requirement that n is less than 10% of the population, Estimation of two parameters, Removal of an outlier, Overall sample size

D

Removal of an outlier, Overall sample size, Estimation of two parameters, The requirement that n is less than 10% of the population

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