A) Hypothesis testing B) Regression analysis C) Game theory D) Decision trees
A) Correlation implies stronger relationships than causation B) Correlation shows a relationship between variables, causation implies one variable directly affects the other C) Correlation is the same as causation in econometrics D) Causation implies a more reliable relationship than correlation
A) The classification of economic variables B) A method for predicting future economic trends C) The analysis of data from a single point in time D) The study of data collected over time
A) A variable used for nonlinear regression only B) A variable that takes on the value of 0 or 1 to represent categories C) A variable with continuously varying values D) A variable used for testing autocorrelation
A) Multicollinearity B) Endogeneity C) Heteroscedasticity D) Autocorrelation
A) The presence of outliers in data B) A type of autocorrelation C) When the variance of the error terms is not constant D) A measure of uncertainty in regression analysis
A) To classify economic data B) To predict future economic trends C) To estimate the relationship between dependent and independent variables D) To test for endogeneity
A) The residuals are normally distributed B) The error terms are uncorrelated C) The model is linear D) The variance of the error terms is constant
A) Cross-sectional data is collected at a single point in time, time series data is collected over time B) Time series data represents entities, cross-sectional data represents time C) Cross-sectional data is used for forecasting, time series data for analysis D) Cross-sectional data is continuous, time series data is categorical |