Econometrics Questions
Explore questions in the Econometrics category that you can ask Spark.E!
When solving with EXPONENTIAL model use
Explanatory variable goes on _ axis
Equation to find slope for least squares regression line
calculating a t-statistic for a slope coefficient (in both a bivariate regression model and a multiple regression model)
Degrees of freedom for bivariate regression model
calculating a predicted value of the dependent variable for specified values of the independent variable(s) (in both a bivariate regression model and a multiple regression model)
reference category (when using dummy variables to reflect the effect of a categorical or ordinal variable with 2 or more categories)
Multiplying the dependent variable by 100 and the explanatory variable by 100 leaves the
Which of the following statements is correct?
When there are two coefficients, the resulting confidence sets are
If the absolute value of your calculated t-statistic exceeds the critical value such as 1.96 from the standard normal distribution, you can
You have to worry about perfect multicollinearity in the multiple regression model because
The overall regression F-statistic tests the null hypothesis that
When you have an omitted variable problem, the assumption that E(ui | Xi) = 0 is violated. This implies that
Case 3: The unemployment rate in each U.S. state observed each month from January 1947 to December 2023. (cross-sectional, time-series, panel, or pooled)?
Case 2: The unemployment rate in each U.S. state in December 2023. (cross-sectional, time-series, panel, or pooled)?
Case 1: The United States unemployment rate observed monthly from January 1947 to December 2023. (cross-sectional, time-series, panel, or pooled)?
In a linear regression what determines the effect?
True or False. Linear regressions with different intercepts can have different effects.
A method of finding the best model for a linear relationship between the explanatory and response variable.