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Unformatted text preview: First Exam: Economics 388, Econometrics Fall 2005 in R. Butler’s class YOUR NAME:________________________________________ Section I (30 points) Questions 1-10 (3 points each) Section II (40 points) Questions 11-15 (10 points each) Section III (30 points) Question 16 (20 points each) Section I. Define or explain the following terms (3 points each) 1. median- 2. standardized or z-score - 3. population regression function vs. sample regression function- 4. conditional probability density function of y given x- 5. the meaning of “linear” in the linear regression model- 6. adjusted R-square - 7. perfect multicollinearity- 8. BLUE- 9. probability significance values (i.e., ‘p-values’)- 10. SST=SSE + SSR (for regressions)- 1 II. Some Concepts 11. Indicate whether the following statement is True, False or Uncertain and explain why. You are graded only on the explanation for your answer. “The regression R-square for the two variable, simple regression model ( i i i x y μ β β + + = 1 ) will be unchanged if both variables are linearly transformed. That is the R- square for the model i i i x y μ β β + + = 1 will be the same as for the model...
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This note was uploaded on 03/17/2010 for the course ECON 388 taught by Professor Mcdonald,j during the Spring '08 term at BYU.
- Spring '08