Exam 13: Investigating Relationships Between Two Variables

In a measure of association for ordinal variables, a pair in which one individual is higher on both variables than the other case is called a ____________ pair.

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Question 1

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How would you interpret the effect of X on Y given this regression equation: Y=3.2+6.3X?

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Question 2

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A one unit change in X causes a 6.3 unit change in Y.

In a measure of association for ordinal variables, a pair in which both observations have the same value on one or both variables is called a _____________ pair.

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Question 3

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Bounded measures of association like Pearson's r vary between and _.

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Question 4

Why is cross-tabulation an appropriate choice for analyzing two variables when both are nominal or ordinal measures but not when one or both are interval or ratio measures?

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Question 5

When the difference of the means is larger, or smaller, what are the implications for tests of statistical significance?

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Question 6

When the categories of the independent are arrayed across the top of the table-that is, they are the column labels-it is essential that the percentages add to ____ down the columns (these are known as column percentages).

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Question 7

What is a linear relationship?

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Question 8

The regression coefficient tells how much changes if _ changes by one unit.

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Question 9

In the regression equation, $Y_1=?_0+?_1X_1+...+?_1$ , the "?_o" is defined as the ______________.

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Question 10

The difference between one mean and another is a(n) __________.

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Question 11

How does a regression give us the "best fit" line to summarize the relationship between two variables?

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Question 12

Which of the following best describes the relationship between two variables when high values of one variable are associated with high values of the other in which plotted X?Y points fall on a straight line.

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Question 13

Please explain in your own words how ANOVA can be used to test hypotheses.

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Question 14

A measure of _________ describes in a single number or coefficient the kind and strength of relationship between the values of two variables.

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Question 15

A ____________ shows the joint or bivariate relationship between two categorized (nominal and/or ordinal) variables.

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Question 16

Chi squared rapidly inflates with ___________ leading many analysts to use corrective measures like phi.

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Question 17

You can create a ____________ variable by subtracting the mean from each value and dividing the remainder by the standard deviation.

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Question 18

In the regression equation $Y_1=?_0+?_1X_1+...+?_1$ the "?₁" is defined as the ______________.

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Question 19

The linear regression equation is ________________.

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Question 20

Showing 1 - 20 of 25

In a measure of association for ordinal variables, a pair in which one individual is higher on both variables than the other case is called a ____________ pair.

How would you interpret the effect of X on Y given this regression equation: Y=3.2+6.3X?

In a measure of association for ordinal variables, a pair in which both observations have the same value on one or both variables is called a _____________ pair.

Bounded measures of association like Pearson's r vary between and _.

Why is cross-tabulation an appropriate choice for analyzing two variables when both are nominal or ordinal measures but not when one or both are interval or ratio measures?

When the difference of the means is larger, or smaller, what are the implications for tests of statistical significance?

When the categories of the independent are arrayed across the top of the table-that is, they are the column labels-it is essential that the percentages add to ____ down the columns (these are known as column percentages).

What is a linear relationship?

The regression coefficient tells how much changes if _ changes by one unit.

In the regression equation, $Y_1=?_0+?_1X_1+...+?_1$ , the "?_o" is defined as the ______________.

The difference between one mean and another is a(n) __________.

How does a regression give us the "best fit" line to summarize the relationship between two variables?

Which of the following best describes the relationship between two variables when high values of one variable are associated with high values of the other in which plotted X?Y points fall on a straight line.

Please explain in your own words how ANOVA can be used to test hypotheses.

A measure of _________ describes in a single number or coefficient the kind and strength of relationship between the values of two variables.

A ____________ shows the joint or bivariate relationship between two categorized (nominal and/or ordinal) variables.

Chi squared rapidly inflates with ___________ leading many analysts to use corrective measures like phi.

You can create a ____________ variable by subtracting the mean from each value and dividing the remainder by the standard deviation.

In the regression equation $Y_1=?_0+?_1X_1+...+?_1$ the "?₁" is defined as the ______________.

The linear regression equation is ________________.

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

Multivariate Analysis

Filters

Exam 13: Investigating Relationships Between Two Variables

In a measure of association for ordinal variables, a pair in which one individual is higher on both variables than the other case is called a ____________ pair.

How would you interpret the effect of X on Y given this regression equation: Y=3.2+6.3X?

In a measure of association for ordinal variables, a pair in which both observations have the same value on one or both variables is called a _____________ pair.

Bounded measures of association like Pearson's r vary between ____ and _____.

Why is cross-tabulation an appropriate choice for analyzing two variables when both are nominal or ordinal measures but not when one or both are interval or ratio measures?

When the difference of the means is larger, or smaller, what are the implications for tests of statistical significance?

When the categories of the independent are arrayed across the top of the table-that is, they are the column labels-it is essential that the percentages add to ____ down the columns (these are known as column percentages).

What is a linear relationship?

The regression coefficient tells how much ____ changes if _____ changes by one unit.

In the regression equation, Y1=?0+?1X1+...+?1Y_1=?_0+?_1X_1+...+?_1Y1​=?0​+?1​X1​+...+?1​ , the "?o" is defined as the ______________.

The difference between one mean and another is a(n) __________.

How does a regression give us the "best fit" line to summarize the relationship between two variables?

Which of the following best describes the relationship between two variables when high values of one variable are associated with high values of the other in which plotted X?Y points fall on a straight line.

Please explain in your own words how ANOVA can be used to test hypotheses.

A measure of _________ describes in a single number or coefficient the kind and strength of relationship between the values of two variables.

A ____________ shows the joint or bivariate relationship between two categorized (nominal and/or ordinal) variables.

Chi squared rapidly inflates with ___________ leading many analysts to use corrective measures like phi.

You can create a ____________ variable by subtracting the mean from each value and dividing the remainder by the standard deviation.

In the regression equation Y1=?0+?1X1+...+?1Y_1=?_0+?_1X_1+...+?_1Y1​=?0​+?1​X1​+...+?1​ the "?1" is defined as the ______________.

The linear regression equation is ________________.

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

Multivariate Analysis

Filters

Bounded measures of association like Pearson's r vary between and _.

The regression coefficient tells how much changes if _ changes by one unit.

In the regression equation, $Y_1=?_0+?_1X_1+...+?_1$ , the "?_o" is defined as the ______________.

In the regression equation $Y_1=?_0+?_1X_1+...+?_1$ the "?₁" is defined as the ______________.