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