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Author Question: An estimator is said to be consistent if: a. the difference between the estimator and the ... (Read 180 times)

asd123

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An estimator is said to be consistent if:
 a. the difference between the estimator and the population parameter grows smaller as the sample size grows larger.
  b. it is an unbiased estimator.
  c. the variance of the estimator is zero.
  d. the difference between the estimator and the population parameter stays the same as the sample size grows larger.

Question 2

Data that exhibit an autocorrelation effect violate the regression assumption of independence.
  Indicate whether the statement is true or false



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Jayson

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Answer to Question 1

A

Answer to Question 2

T



asd123

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Jayson

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