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xam type Final exam cimuni weieht 50% Masi General Iostructions: Wrievow nam D nunberand department Cheaing resulted in sertous penalty Usig mabile phone for amy purpose ls srlctly forbidden P'art : True or Ealsc tYpcquestions. (10 Marks) Instructions: Read cach statement carefully. Write "Irue" if the statement is correct, or"False" ifit is incorrect (2 pts cach) 1 Ifthe F-test showed the regression cocfficients are iointly insignificant, the rnodel can be used for prediction 2. When the eror term is normally distributed then, dependent variable and the parameters af the regression are also nomally distributed. 3. Partial cotrelation coefricients are used in multiple regression analysis to determinc the relative importance of each explanatory variable in the model. 4. High pair-wise correlations do not sugrest that there is high multicollincarity. S Heteroscedasticity oceurs when the residuals of a regression model are not constant Part ll: Multiple choice questions (20 Marks) Instruction: Choose the best answer from the altermatives given (2 pts cach) L. Which of the following is NOT an assumption of the multiple regression model? A Linearity dasticity B. Homoscedast 2. The coefticient of deterr nination (R-squared) measures the: B. Slope of the regress1on line C. Amount of error in the odel Date Jurie 01,2021 Time allowed 90 minutcs C. Normality A. Proportion of thc va variation in the dependent variable explaned by the independent variables D. Independence D. Significance of the regression cquation A. Variance Inflation Factor (VIE) B. Durbin-Watson statistic 3. Which of the following is a diapnostic check for multicollincarity? A The R-squared will always inerease B. The F-statistic will always increase C Breusch-Pagan test 4. What is the effect of adding more independent väriables to a multiple rogression model?* D, Jarque-Bera test C. The standard errors of the coefficients will decrease D. The coeticients of the independent variables will become more precise 1 Maw2 Unverst

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Certainly! Below is a structured response to the final exam questions based on your provided text.

Final Exam - CIMUNI

Name: [Your Name]
Department: [Your Department]
Date: June 01, 2021
Time Allowed: 90 Minutes

Part I: True or False Questions (10 Marks)

Instructions: Read each statement carefully. Write "True" if the statement is correct, or "False" if it is incorrect (2 pts each).

  1. If the F-test showed the regression coefficients are jointly insignificant, the model can be used for prediction.
    Answer: False.

  2. When the error term is normally distributed, then, the dependent variable and the parameters of the regression are also normally distributed.
    Answer: False.

  3. Partial correlation coefficients are used in multiple regression analysis to determine the relative importance of each explanatory variable in the model.
    Answer: True.

  4. High pair-wise correlations do not suggest that there is high multicollinearity.
    Answer: False.

  5. Heteroscedasticity occurs when the residuals of a regression model are not constant.
    Answer: True.

Part II: Multiple Choice Questions (20 Marks)

Instructions: Choose the best answer from the alternatives given (2 pts each).

  1. Which of the following is NOT an assumption of the multiple regression model?
    A. Linearity
    B. Homoscedasticity
    C. Normality
    D. Independence
    Answer: A. Linearity

  2. The coefficient of determination (R-squared) measures the:
    A. Proportion of the variation in the dependent variable explained by the independent variables
    B. Slope of the regression line
    C. Amount of error in the model
    D. Significance of the regression equation
    Answer: A. Proportion of the variation in the dependent variable explained by the independent variables

  3. Which of the following is a diagnostic check for multicollinearity?
    A. The R-squared will always increase
    B. The F-statistic will always increase
    C. Breusch-Pagan test
    D. Jarque-Bera test
    Answer: A. The R-squared will always increase

  4. What is the effect of adding more independent variables to a multiple regression model?
    A. Variance Inflation Factor (VIF)
    B. Durbin-Watson statistic
    C. The standard errors of the coefficients will decrease
    D. The coefficients of the independent variables will become more precise
    Answer: C. The standard errors of the coefficients will decrease

Make sure to fill in your name and department at the top of the exam paper. Good luck with your exam!