Question 1

In a multivariate cross-tabulation, we control for a third variable by ________.

Accepted Answer

A)  Selection 
B)  Variance 
C)  Grouping 
D)  Means 
A)  Selection 
B)  Variance 
C)  Grouping 
D)  Means C

Question 2

___________ means that there is constant variance, or that the variation in Y is the same at each level of X.

Accepted Answer

A)  Multicolinearity 
B)  Spurious 
C)  Homoscedasticity 
D)  Interaction 
A)  Multicolinearity 
B)  Spurious 
C)  Homoscedasticity 
D)  Interaction C

Question 3

Each of the following is an important assumption about the errors terms in regression except:

Accepted Answer

A)  Errors are uncorrelated with any X 
B)  Errors are systematic 
C)  Errors are mutually independent 
D)  The expected value of the errors is 0 
A)  Errors are uncorrelated with any X 
B)  Errors are systematic 
C)  Errors are mutually independent 
D)  The expected value of the errors is 0 B

Question 4

Why is each β term in a multiple regression equation called a partial regression coefficient?

Accepted Answer

As in simple regression, the βs indicate

Question 5

In a ____________ model, the expected value of the binary dependent variable or (what is the same thing) the probability that Y equals 1 is a linear function of the independent variables.

Accepted Answer

The answer of In a ____________ model, the expected value...

Question 6

Please explain how you can control the effects of a third variable in a multivariate cross-tabulation by grouping.

Accepted Answer

In a multivariate cross-tabulation, we c

Question 7

How can we use a nominal level variable like region (East, West, South, and Midwest) in a regression analysis? How would you manipulate the variable for inclusion in the regression equation?

Accepted Answer

If we had a categorical variable with mo

Question 8

When analyzing data with a regression, statisticians are often concerned with the residuals. What are residuals and why are they important?

Accepted Answer

The difference between predicted and obs

Question 9

_______ regression is a nonlinear model in which the log odds of one response as opposed to another is the dependent variable.

Accepted Answer

The answer of _______ regression is a nonlinear model in...

Question 10

A _____________ relationship is one in which the association between two variables is caused by a third.

Accepted Answer

A)  Causal 
B)  Spurious 
C)  Spatial 
D)  Logistic 
A)  Causal 
B)  Spurious 
C)  Spatial 
D)  Logistic

Question 11

What is multicolinearity and why is it important?

Accepted Answer

Multicolinearity is the inter-correlatio

Question 12

What is meant by "controlling" for a third variable in a multivariate analysis?

Accepted Answer

Political scientists use multivariate te

Question 13

How does standardizing a variable affect the interpretation of the variable in a regression?

Accepted Answer

Transforming variables by stan

Question 14

A regression coefficient calculated from standardized variables is called a _________ regression coefficient, or, sometimes, a beta weight, and under certain, restricted circumstances might indicate the relative importance of each independent variable in explaining the variation in the dependent variable when controlling for all the other variables.

Accepted Answer

A)  Standardized 
B)  Regularized 
C)  Interacted 
D)  Transformed 
A)  Standardized 
B)  Regularized 
C)  Interacted 
D)  Transformed

Question 15

A ___________ variable is a hypothetical index that has just two values: 0 for the presence (or absence) of a factor and 1 for its absence (or presence).

Accepted Answer

A)  Control 
B)  Third 
C)  Quantitative 
D)  Dummy 
A)  Control 
B)  Third 
C)  Quantitative 
D)  Dummy

Question 16

Each of the following is an important assumption about the errors terms in regression except:

Accepted Answer

A)  Errors are uncorrelated with any X 
B)  Errors are systematic 
C)  Errors are mutually independent 
D)  The expected value of the errors is 0 
A)  Errors are uncorrelated with any X 
B)  Errors are systematic 
C)  Errors are mutually independent 
D)  The expected value of the errors is 0

Question 17

The results from a standardized regression and the results from an unstandardized regression are similar in each of the following ways, except:

Accepted Answer

A)  r will be interpreted the same way 
B)  R2 will be interpreted the same way 
C)  The constant is interpreted the same way 
D)  t-Tests are interpreted the same way 
A)  r will be interpreted the same way 
B)  R2 will be interpreted the same way 
C)  The constant is interpreted the same way 
D)  t-Tests are interpreted the same way

Question 18

Each of the following is key assumptions about the error term in a regression model, except:

Accepted Answer

A)  Error variance is not constant (heteroscedasticity) 
B)  The expected value of the errors is 0: E($\varepsilon$i) = 0 
C)  Errors are mutually independent: The correlation of $\varepsilon$i with $\varepsilon$j is zero 
D)  Errors are uncorrelated with any X 
A)  Error variance is not constant (heteroscedasticity) 
B)  The expected value of the errors is 0: E($\varepsilon$i) = 0 
C)  Errors are mutually independent: The correlation of $\varepsilon$i with $\varepsilon$j is zero 
D)  Errors are uncorrelated with any X

Question 19

Please interpret the following multiple regression output table by indicating how you would interpret all of the statistics and coefficients we discussed in class. Make sure you interpret the relationship between each independent variable and the dependent variable and assess statistical significance.

Accepted Answer

Instructors should provide a r

Question 20

How would you test for statistical significance when performing a regression analysis using a t-test?

Accepted Answer

For small samples we use the t-distribut

In a multivariate cross-tabulation, we control for a third variable by ________.

___________ means that there is constant variance, or that the variation in Y is the same at each level of X.

Each of the following is an important assumption about the errors terms in regression except:

Why is each β term in a multiple regression equation called a partial regression coefficient?

In a ____________ model, the expected value of the binary dependent variable or (what is the same thing) the probability that Y equals 1 is a linear function of the independent variables.

Please explain how you can control the effects of a third variable in a multivariate cross-tabulation by grouping.

How can we use a nominal level variable like region (East, West, South, and Midwest) in a regression analysis? How would you manipulate the variable for inclusion in the regression equation?

When analyzing data with a regression, statisticians are often concerned with the residuals. What are residuals and why are they important?

_______ regression is a nonlinear model in which the log odds of one response as opposed to another is the dependent variable.

A _____________ relationship is one in which the association between two variables is caused by a third.

What is multicolinearity and why is it important?

What is meant by "controlling" for a third variable in a multivariate analysis?

How does standardizing a variable affect the interpretation of the variable in a regression?

A ___________ variable is a hypothetical index that has just two values: 0 for the presence (or absence) of a factor and 1 for its absence (or presence).

Each of the following is an important assumption about the errors terms in regression except:

The results from a standardized regression and the results from an unstandardized regression are similar in each of the following ways, except:

Each of the following is key assumptions about the error term in a regression model, except:

How would you test for statistical significance when performing a regression analysis using a t-test?

The Empirical Approach to Political Science

Beginning the Research Process: Identifying a Research Topic, Developing Research Questions, and Reviewing the Literature

The Building Blocks of Social Scientific Research: Hypotheses, Concepts, and Variables

The Building Blocks of Social Scientific Research: Measurement

Research Design: Making Causal Inferences

Sampling

Making Empirical Observations: Firsthand Observation

Document Analysis: Using the Written Record

Survey Research and Interviewing

Making Sense of Data: First Steps

Statistical Inference

Investigating Relationships Between Two Variables

Filters

Exam 14: Multivariate Analysis

In a multivariate cross-tabulation, we control for a third variable by ________.

___________ means that there is constant variance, or that the variation in Y is the same at each level of X.

Each of the following is an important assumption about the errors terms in regression except:

Why is each β term in a multiple regression equation called a partial regression coefficient?

In a ____________ model, the expected value of the binary dependent variable or (what is the same thing) the probability that Y equals 1 is a linear function of the independent variables.

Please explain how you can control the effects of a third variable in a multivariate cross-tabulation by grouping.

How can we use a nominal level variable like region (East, West, South, and Midwest) in a regression analysis? How would you manipulate the variable for inclusion in the regression equation?

When analyzing data with a regression, statisticians are often concerned with the residuals. What are residuals and why are they important?

_______ regression is a nonlinear model in which the log odds of one response as opposed to another is the dependent variable.

A _____________ relationship is one in which the association between two variables is caused by a third.

What is multicolinearity and why is it important?

What is meant by "controlling" for a third variable in a multivariate analysis?

How does standardizing a variable affect the interpretation of the variable in a regression?

A ___________ variable is a hypothetical index that has just two values: 0 for the presence (or absence) of a factor and 1 for its absence (or presence).

Each of the following is an important assumption about the errors terms in regression except:

The results from a standardized regression and the results from an unstandardized regression are similar in each of the following ways, except:

Each of the following is key assumptions about the error term in a regression model, except:

How would you test for statistical significance when performing a regression analysis using a t-test?

The Empirical Approach to Political Science

Beginning the Research Process: Identifying a Research Topic, Developing Research Questions, and Reviewing the Literature

The Building Blocks of Social Scientific Research: Hypotheses, Concepts, and Variables

The Building Blocks of Social Scientific Research: Measurement

Research Design: Making Causal Inferences

Sampling

Making Empirical Observations: Firsthand Observation

Document Analysis: Using the Written Record

Survey Research and Interviewing

Making Sense of Data: First Steps

Statistical Inference

Investigating Relationships Between Two Variables

Filters