Question
5) Logistic regression is _________ when the observed outcome of dependent variable can have multiple possible types a) Binomial b) Multinomial c) Ordinal d) Unbiased
5) Logistic regression is _________ when the observed outcome of dependent variable can have multiple possible types a) Binomial b) Multinomial c) Ordinal d) Unbiased
6) Logistic regression is _________ when the observed outcome of dependent variable are ordered a) Binomial b) Multinomial c) Ordinal d) normal
7) Which of the following is NOT TRUE? a) A dummy variable represents a shift in the intercept of all observations in a category b) A dummy variable represents a change in the slope of the regression line c) An interaction variable is the product of two explanatory variables d) An interaction variable can help obtain a better model fit
8) Which property of an estimation function is proven by the Gauss-Markov Theorem? a) Unbiasedness of OLS estimators b) Normal distribution of OLS estimators c) Consistency of OLS estimators d) Efficiency of OLS estimators
9) Which of the following is NOT TRUE? a) In a balanced panel data set, always the same individuals are observed over time b) In an unbalanced panel data set, not the same individuals are observed over time c) A fixed effects regression model controls for time-independent omitted variables in panel data when these vary only across individuals d) A fixed effects regression model controls for time-dependent omitted variables in panel data when these vary only across individuals
10) Which of the following is NOT TRUE? a) Forecasting is an objective of time series analysis b) The trend in a time series reflects the rate of growth/decline over time c) In a micro panel, N compared to T is very large d) A time series analysis can be performed with cross-sectional data
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