Regression in Political Science MCQs
Regression in Political Science MCQs
The following Regression in Political Science MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Regression in Political Science. We encourage you to answer these multiple-choice questions to assess your proficiency.
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1: A logistic regression is _____ regression model that relates a set of explanatory variables to a dichotomous dependent variable.
A. Linear
B. Non linear
C. Constant
D. All of these
2: A ____ regression coefficient based on the logistic model is logistic regression coefficient.
A. Single
B. Constant
C. Multiple
D. All of these
3: Maximum likelihood estimation is a class of estimators that chooses a set of parameters that provides the highest probability of observing a particular outcome.
A. True
B. False
4: Multivariate regression analysis is technique for measuring the mathematical relationships between more than one independent variable and a dependent variable while controlling for all other independent variables in the equation.
A. True
B. False
5: Multivariate regression coefficient is number that tells how much Y will change for a one-unit change in a particular independent variable, if all the other variables in the model have been held constant.
A. True
B. False
6: A technique for measuring the relationship between two interval- or ratio-level variables is called
A. Regression analysis
B. Regression constant
C. Regression Coefficient
D. None of these
7: A statistic that tells how much the dependent variable changes per unit change in the independent variable is known as
A. Regression analysis
B. Regression constant
C. Regression Coefficient
D. None of these
8: Value of the dependent variable when all the values of the independent variables in the equation equal zero is called
A. Regression analysis
B. Regression constant
C. Regression Coefficient
D. None of these
9: ___is the proportion of the total variance in a dependent variable explained by an independent variable.
A. R1
B. R2
C. R3
D. R4
10: Scatterplot is a graph that plots joint values of an independent variable along one axis (usually the x-axis) and a dependent variable along the other axis (usually the y-axis).
A. True
B. False
11: A(n) ______ equation may be used to calculate the predicted value of Y for any given value of X.
A. Correlation
B. Association
C. Lambda
D. Regression
12: A multivariate regression coefficient indicates how much a one-unit change in the dependent variable changes the independent variable when all other variables in the model have been held constant or controlled.
A. True
B. False
13: A regression constant in multiple regression is the value of the dependent variable when all the values of the independent variables in the equation equal 0.
A. True
B. False
14: According to the assumptions, if two variables move together in unison, positively or negatively, then regression is not possible.
A. True
B. False
15: A logistic regression is a linear model.
A. True
B. False
16: Logistic regression coefficients show how the probability of the dependent variable equaling one change with changes in the independent variable.
A. True
B. False
17: To test for statistical significance in a regression model, you can calculate a t value by dividing the standard error by the coefficient.
A. True
B. False
18: The slope measures the amount the dependent variable changes when the independent variable, X, changes one unit.
A. True
B. False
19: In the regression equation, the “Y” represents the ______.
A. Regression coefficient
B. Dependent variable
C. Independent variable
D. Intercept
20: In the regression equation, the “X” represents the ______.
A. Regression coefficient
B. Dependent variable
C. Independent variable
D. Intercept
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Regression in Political Science MCQs
