This preview shows pages 1–5. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: Midterm 2  Fall 2009 Economics 203  Form B Instructor: Petry Name: Before beginning the exam, please verify that you have 21 pages with 43 questions in your exam booklet. You should also have a decisiontree and formula sheet provided to you. Please include your full name and NetID on your bubble sheets. Based on the name of your TA and discussion time, please code in the following for the Section portion on your scantron: TA Name Discussion Day and Time Section Mahdi Rastad Friday 8am 001 Mahdi Rastad Friday 9am 002 Soroush Ghazi Kalahroudi Friday 10am 003 Soroush Ghazi Kalahroudi Friday 11am 004 Luke GodwinJones Friday 12pm 005 Luke GodwinJones Friday 1pm 006 Josh Brown Friday 2pm 007 Josh Brown Friday 3pm 008 Lusha Zhu Friday 4pm 009 Lusha Zhu Friday 5pm 010 Good luck! 1. In simple linear regression, which of the following is a population parameter? a. SSR b. b c. s d. r e. 1 2. In a multiple regression, what is the null hypothesis for the test of the overall validity of the model? a. All of the coefficients corresponding to the independent variables are different from zero b. All of the correlation coefficients between the independent variables are less than .8 c. At least one of the coefficients corresponding to the independent variables is dif ferent from zero d. All of the coefficients corresponding to the independent variables are zero e. None of the above 1 3. The following are three of the steps in the modelling process. Select the correct order in which they should occur (steps may be omitted between those given below). 1. Estimate the model coefficients using statistical software 2. Develop a model with a sound theoretical basis 3. Gather the data a. 3 then 1 then 2 b. 3 then 2 then 1 c. 1 then 3 then 2 d. 2 then 1 then 3 e. 2 then 3 then 1 Use the following information to answer the next 2 questions (45): Suppose you obtain the following partial regression output: ANOVA df SS MS F Regression 1 432 Residual 1786 Total 39 4. What is the value of adjusted R 2 for this regression? a. 17.358% b. 17.301% c. 19.477% d. 75.158% e. 75.175% 2 5. What is the value of the standard error of the estimate? a. 6.856 b. 6.948 c. 3.372 d. 47.000 e. 48.270 Use the following information to answer the next 3 questions (68): The following is the Excel output from a regression of profit on number of employees: Regression Statistics Multiple R 0.7809 R Square 0.6098 Adjusted R Square 0.5610 Standard Error 11.8818 Observations 10 Coefficients Standard Error t Stat Pvalue Intercept 150.79 13.13 11.48 2.998E06 Employees3.30 0.933.54 0.0077 6. What is the value of the correlation coefficient for this set of data? a. 0.5610 b. 0.6098 c. 0.7809 d. 0.6098 e. 0.7809 3 7. Based on the Excel output given, which of the following statements best describes the rela tionship between profit and number of employees?...
View
Full
Document
This note was uploaded on 07/19/2010 for the course ECON ECON203 taught by Professor Petry during the Spring '10 term at University of Illinois at Urbana–Champaign.
 Spring '10
 Petry
 Economics

Click to edit the document details