1) In a qualitative choice model, the dependent variable only takes qualitative values. T/ F

2)In a logistic regression model, an independent variable X must have binary outcomes. T/F

3)If a dependent variable is modeled in a form of: ln(Pi1−Pi)=α+βXi, where Xi is independent variable. Then this is a typical logistic regression model.

4). In a logistic regression model, the parameters are estimated using maximum likelihood method.
T/F

5)In a logistic regression model, the dependent variable can either be a numeric or a categorical variable. T/F

6)In a logistic regression model, an independent variable must be a categorical variable.T/F

7)In a logistic regression model, the coefficients can be estimated using the ordinary least square (OLS) method.T/F

8)One can use a fitted logistic regression model to predict the numeric value of a dependent variable given a set of the values of the independent variables in the model.T/F

9)One can use a fitted logistic regression model to predict the probability/odd of an interest of choice represented by an dependent variable given a set of the values of the independent variables in the model. T/F

10)In a logistic regression model, a coefficient is statistically significant at a 5% significance level if the absolute value of the “z value” of the estimated coefficient is at least 2.0 (T/F)

11)Factor analysis is to find a few underlying variables from a data set that includes a certain number of observed variables.T/F

12)In a factor analysis, the size of a data sample should be larger than the number of the variables in the given data.T/F

13)An exploratory factor analysis focuses on finding the most likely factor structure for the relationships among a set of variables without any pre-established theory. T/F

14)In a factor analysis process, a so-called “Scree Plot” is used to determine an optimal number of factors given a set of data.T/F

15)To obtain the final estimates of the factoring loadings and factor scores in a factor analysis process, one can employ a varimax rotation technique. T/F

16)A confirmatory factor analysis is used
to test whether a factor structure conforms with the
expected one based on a pre-established theory.