The components of internal validity are A)a large sample, and BLUE property of the estimator. B)a regression R² above 0.75 and serially uncorrelated errors. C)unbiasedness and consistency of the estimator, and desired significance level of hypothesis testing. D)nonstochastic explanatory variables, and prediction intervals close to the sample mean.

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The components of internal validity include unbiasedness and consistency of the estimator (which relate to the accuracy of the estimate), and the desired significance level of hypothesis testing (which relates to the ability to draw correct conclusions from the data). A large sample and the BLUE property (best linear unbiased estimator) are related to the precision of the estimate, but are not necessarily essential components of internal validity. Regression R² and nonstochastic explanatory variables are not relevant to internal validity. Prediction intervals close to the sample mean could be related to precision, but are not directly related to internal validity.

The Components of Internal Validity Are