MAR 3613 FINAL EXAM QUESTIONS & ANSWERS 2024/2025
(T/F) Our group project mainly relied on secondary data - ANSWERSF
(T/F) Our group project mainly relied on primary data - ANSWERST
(T/F) The threshold to determine collinearity problem is 0.3 and that to determine significance is 0.05. -...
(T/F) Our group project mainly relied on secondary data - ANSWERSF
(T/F) Our group project mainly relied on primary data - ANSWERST
(T/F) The threshold to determine collinearity problem is 0.3 and that to determine significance is 0.05. -
ANSWERST
(T/F) When one uses regression to predict, one should focus on the significant independent variables. -
ANSWERST
(T/F) Survey is the most important method to collect primary data. - ANSWERST
(T/F) Spurious Association can be ruled out by using intuition. - ANSWERST
(T/F) Independent variables can be dummy variables but the dependent variables cannot be. -
ANSWERSF
(T/F) Both independent and dependent variables can be dummy variables - ANSWERST
(T/F) Including more data in the regression can increase R-Sq and P-Values - ANSWERSF
(T/F) The higher the R-Sq the better, the lower the P-Value the better. - ANSWERST
(T/F) R-Sq can be related to the insignificant independent variables - ANSWERSF
, (T/F) R-Sq is only related to the significant independent varibles - ANSWERST
(T/F) Researchers should use Pearson Correlation to check collinearity problem. - ANSWERST
(T/F) Researchers should use intuition to check collinearity problem. - ANSWERSF
(T/F) When AB and AC have collinearity problems and A is more important in serving the research
purpose, normally A should be removed. - ANSWERSF
(T/F) When determining collinearity problem, one should check whether
R-Sq < P-Val - ANSWERSF
(T/F) Missing Variable Problem has to be resolved before one can correctly run regression analysis. -
ANSWERSF
(T/F) You can never fully resolve missing variable problem. - ANSWERST
(T/F) Including more data in regression improves p-values. - ANSWERSF
(T/F) If the standard of p-value is reduced from 0.05 to 0.01, one should expect more significant
independent variables. - ANSWERSF
(T/F) If the standard of p-value is reduced from 0.05 to 0.01, one should expect less significant
independent variables. - ANSWERST
(T/F) If the standard of p-value is increased from 0.05 to 1.0, one should expect more significant
independent variables. - ANSWERST
(T/F) If the standard of p-value is increased from 0.05 to 1.0, one should expect less significant
independent variables. - ANSWERSF
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