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The increase in the squared multiple correlation coefficient (δ R 2 ) associated with a variable in a regression equation is a commonly used measure of importance in regression analysis. The probability that an asymptotic confidence interval will include δρ 2 was investigated. With sample sizes typically used in regression analyses, when δρ 2 = 0.00 and the confidence level is .95 or greater, the probability will be at least .999. For δρ 2 ≥ .01 and a confidence level of .95 or greater, the probability will be smaller than the nominal confidence level. For δρ 2 ≥ .05 and a confidence level of .95, tables are provided for the sample size necessary for the probability to be at least .925 and to be at least .94.
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Algina et al. (2001) studied this question.
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