Answer (B) is correct . Learning curve analysis is used to project productivity gains resulting from the increased rate at which people perform tasks as they gain experience.
Answer (A) is incorrect because Regression analysis, also called least-squares analysis, is the process of deriving the linear equation that describes the relationship between two (or more) variables with a nonzero coefficient of correlation.
Answer (C) is incorrect because Sensitivity analysis is used to reveal how sensitive expected value calculations are to the accuracy of the initial estimates.
Answer (D) is incorrect because Normal probability analysis is used to determinate whether the distribution of a set of data is statistically normal.
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