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Author Question: An estimator is said to be consistent if: a. the difference between the estimator and the ... (Read 202 times)

asd123

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on: Jun 24, 2018
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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Reply #1 on: Jun 24, 2018
Answer to Question 1

A

Answer to Question 2

T


asd123

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Reply #2 on: Jun 24, 2018
Correct answers!


Jayson

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Reply #3 on: Jun 24, 2018
Great! Please up vote :D


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