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

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

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The components of internal validity are Group of answer choices nonstochastic explanatory variables, and prediction intervals close to the sample mean. large sample, and BLUE property of the estimator. unbiasedness and consistency of the estimator, and desired significance level of hypothesis testing. a regression R2 above 0.75 and serially uncorrelated errors.
Transcribed Image Text:The components of internal validity are Group of answer choices nonstochastic explanatory variables, and prediction intervals close to the sample mean. large sample, and BLUE property of the estimator. unbiasedness and consistency of the estimator, and desired significance level of hypothesis testing. a regression R2 above 0.75 and serially uncorrelated errors.
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