Question 1

Which one of the following statements about the relationship between two interval/ratio variables is TRUE?

Accepted Answer

A)  If two variables have a perfect curvilinear relationship, their correlation will be 1.00. 
B)  If the correlation between two variables is negative, the slope of the bivariate regression line will be negative. 
C)  The further from zero the slope, the stronger the correlation. 
D)  The regression line is the "best-fitting" straight line because it maximizes the number of data points that it passes through. 
A)  If two variables have a perfect curvilinear relationship, their correlation will be 1.00. 
B)  If the correlation between two variables is negative, the slope of the bivariate regression line will be negative. 
C)  The further from zero the slope, the stronger the correlation. 
D)  The regression line is the "best-fitting" straight line because it maximizes the number of data points that it passes through. B

Question 2

Which of the following measures of association can range in value from −1.00 to 1.00?

Accepted Answer

A)  Cramer's V 
B)  lambda 
C)  multiple correlation coefficient 
D)  Pearson's r 
A)  Cramer's V 
B)  lambda 
C)  multiple correlation coefficient 
D)  Pearson's r D

Question 3

Pearson's r indicates _____ of the relationship between two variables.

Accepted Answer

A)  the direction but not strength 
B)  the strength but not direction 
C)  the strength and direction 
D)  neither the strength nor the direction 
A)  the direction but not strength 
B)  the strength but not direction 
C)  the strength and direction 
D)  neither the strength nor the direction C

Question 4

Years of schooling (EDUC) is regressed on number of SIBLINGS. The resulting regression equation is EDUC = 16 − 1.00(SIBLINGS). Someone with three siblings would be predicted to get how many years of schooling?

Accepted Answer

A)  13 
B)  15 
C)  16 
D)  17 
A)  13 
B)  15 
C)  16 
D)  17

Question 5

INCOME is regressed on years of schooling (EDUC). The regression equation indicates that each additional year of schooling increases income by $1,200 and persons with no schooling have an income of $300. Which of the following is the correct regression equation?

Accepted Answer

A)  INCOME = 300 − 1200(EDU
C)  
B)  INCOME = 300 + 1200(EDU
C)  
C)  INCOME = 1200 + 300(EDU
C)  
D)  INCOME = 1500(EDU
C)  
A)  INCOME = 300 − 1200(EDU
C)  
B)  INCOME = 300 + 1200(EDU
C)  
C)  INCOME = 1200 + 300(EDU
C)  
D)  INCOME = 1500(EDU
C)

Question 6

If R2 for a regression equation is .25, what is the value of the coefficient of determination? __________

Accepted Answer

Question 7

Which number line represents the independent variable in a scatterplot?

Accepted Answer

the horizontal numbe

Question 8

Weight loss is regressed on initial weight. On the basis of the resulting regression equation, a person's predicted weight loss is 15 pounds. They actually lost 17 pounds. What is the regression residual?

Accepted Answer

A)  −2 
B)  2 
C)  17 
D)  32 
A)  −2 
B)  2 
C)  17 
D)  32

Question 9

The unstandardized regression coefficient (slope) indicates

Accepted Answer

A)  the strength of an independent variable's net effect 
B)  the direction of an independent variable's net effect 
C)  both "a" and "b" 
D)  neither "a" nor "b" 
A)  the strength of an independent variable's net effect 
B)  the direction of an independent variable's net effect 
C)  both "a" and "b" 
D)  neither "a" nor "b"

Question 10

How does a scatterplot indicate the strength of the relationship between two variables?

Accepted Answer

The more the points in the sca

Question 11

The "best-fitting" straight line which describes the data points in a scatterplot is the line that

Accepted Answer

A)  goes through the greatest number of points 
B)  has the smallest y-intercept 
C)  has the steepest slope 
D)  minimizes the sum of the squared vertical distances of points from the line 
A)  goes through the greatest number of points 
B)  has the smallest y-intercept 
C)  has the steepest slope 
D)  minimizes the sum of the squared vertical distances of points from the line

Question 12

What kinds of questions can you answer using a correlation coefficient?

Accepted Answer

Is there a correlati

Question 13

What information does a regression residual provide?

Accepted Answer

A regression residual compares a case's

Question 14

What does a zero regression residual mean?

Accepted Answer

A)  The two variables have a negative correlation. 
B)  That case's actual value on the dependent variable is exactly what was predicted by the regression equation. 
C)  That case's actual value on the dependent variable is more than what was predicted by the regression equation. 
D)  The slope of the best-fitting straight line is negative. 
A)  The two variables have a negative correlation. 
B)  That case's actual value on the dependent variable is exactly what was predicted by the regression equation. 
C)  That case's actual value on the dependent variable is more than what was predicted by the regression equation. 
D)  The slope of the best-fitting straight line is negative.

Question 15

What information does a coefficient of determination provide?

Accepted Answer

The coefficient of determination (R²) ind

Question 16

For a correlation matrix with many variables, what is the difference between pairwise and listwise deletion of missing data?

Accepted Answer

With pairwise deletion, cases are includ

Question 17

Final college GPA was regressed on entering college SAT score. On the basis of the resulting regression equation, regression residuals were calculated for four recent graduates. Which graduate most exceeded expectations?

Accepted Answer

A)  Person A with a residual of −.75 
B)  Person B with a residual of .00 
C)  Person C with a residual of .25 
D)  Person D with a residual of .50 
A)  Person A with a residual of −.75 
B)  Person B with a residual of .00 
C)  Person C with a residual of .25 
D)  Person D with a residual of .50

Question 18

If the value of the coefficient of determination (R2) is .36, what proportion of the variability in the dependent variable is NOT explained by the independent variable(s)?

Accepted Answer

A)  .06 
B)  .36 
C)  .60 
D)  .64 
A)  .06 
B)  .36 
C)  .60 
D)  .64

Question 19

For linear regression, the lowest level of measurement that the dependent variable can be is

Accepted Answer

A)  nominal 
B)  ordinal 
C)  interval/ratio 
A)  nominal 
B)  ordinal 
C)  interval/ratio

Question 20

Answer the questions that follow this SPSS output: 
 
A) What proportion of the differences in EDUC is explained by PAEDUC? __________
B) Do children of father's with more education (PAEDUC) tend to get more or less education (EDUC) than children of father's with less education? (more / less) __________
C) Write out the regression equation. You may use Y and X or the names of the variables.

Accepted Answer

a. .183
b. more
c. Y

Which one of the following statements about the relationship between two interval/ratio variables is TRUE?

Which of the following measures of association can range in value from −1.00 to 1.00?

Pearson's r indicates _____ of the relationship between two variables.

Years of schooling (EDUC) is regressed on number of SIBLINGS. The resulting regression equation is EDUC = 16 − 1.00(SIBLINGS). Someone with three siblings would be predicted to get how many years of schooling?

INCOME is regressed on years of schooling (EDUC). The regression equation indicates that each additional year of schooling increases income by $1,200 and persons with no schooling have an income of $300. Which of the following is the correct regression equation?

If R² for a regression equation is .25, what is the value of the coefficient of determination? __________

Which number line represents the independent variable in a scatterplot?

Weight loss is regressed on initial weight. On the basis of the resulting regression equation, a person's predicted weight loss is 15 pounds. They actually lost 17 pounds. What is the regression residual?

The unstandardized regression coefficient (slope) indicates

How does a scatterplot indicate the strength of the relationship between two variables?

The "best-fitting" straight line which describes the data points in a scatterplot is the line that

What kinds of questions can you answer using a correlation coefficient?

What information does a regression residual provide?

What does a zero regression residual mean?

What information does a coefficient of determination provide?

For a correlation matrix with many variables, what is the difference between pairwise and listwise deletion of missing data?

Final college GPA was regressed on entering college SAT score. On the basis of the resulting regression equation, regression residuals were calculated for four recent graduates. Which graduate most exceeded expectations?

If the value of the coefficient of determination (R²) is .36, what proportion of the variability in the dependent variable is NOT explained by the independent variable(s)?

For linear regression, the lowest level of measurement that the dependent variable can be is

Introduction

Data Sets

Frequency Tables and Univariate Charts

Central Tendency and Dispersion

Creating New Variables

Comparing Group Means

Crosstab Tables

Nominal and Ordinal Measures of Association

Multiple Regression

Sampling Distributions and Normal Distributions

Hypothesis Testing and One-Sample T Tests

Paired and Independent-Samples T Tests

Analysis of Variance

Chi-Square

Hypothesis Testing With Measures of Association and Regression

Filters

Exam 9: Pearsons Correlation and Bivariate Regression

Which one of the following statements about the relationship between two interval/ratio variables is TRUE?

Which of the following measures of association can range in value from −1.00 to 1.00?

Pearson's r indicates _____ of the relationship between two variables.

Years of schooling (EDUC) is regressed on number of SIBLINGS. The resulting regression equation is EDUC = 16 − 1.00(SIBLINGS). Someone with three siblings would be predicted to get how many years of schooling?

INCOME is regressed on years of schooling (EDUC). The regression equation indicates that each additional year of schooling increases income by $1,200 and persons with no schooling have an income of $300. Which of the following is the correct regression equation?

If R2 for a regression equation is .25, what is the value of the coefficient of determination? __________

Which number line represents the independent variable in a scatterplot?

Weight loss is regressed on initial weight. On the basis of the resulting regression equation, a person's predicted weight loss is 15 pounds. They actually lost 17 pounds. What is the regression residual?

The unstandardized regression coefficient (slope) indicates

How does a scatterplot indicate the strength of the relationship between two variables?

The "best-fitting" straight line which describes the data points in a scatterplot is the line that

What kinds of questions can you answer using a correlation coefficient?

What information does a regression residual provide?

What does a zero regression residual mean?

What information does a coefficient of determination provide?

For a correlation matrix with many variables, what is the difference between pairwise and listwise deletion of missing data?

Final college GPA was regressed on entering college SAT score. On the basis of the resulting regression equation, regression residuals were calculated for four recent graduates. Which graduate most exceeded expectations?

If the value of the coefficient of determination (R2) is .36, what proportion of the variability in the dependent variable is NOT explained by the independent variable(s)?

For linear regression, the lowest level of measurement that the dependent variable can be is

Introduction

Data Sets

Frequency Tables and Univariate Charts

Central Tendency and Dispersion

Creating New Variables

Comparing Group Means

Crosstab Tables

Nominal and Ordinal Measures of Association

Multiple Regression

Sampling Distributions and Normal Distributions

Hypothesis Testing and One-Sample T Tests

Paired and Independent-Samples T Tests

Analysis of Variance

Chi-Square

Hypothesis Testing With Measures of Association and Regression

Filters

If R² for a regression equation is .25, what is the value of the coefficient of determination? __________

If the value of the coefficient of determination (R²) is .36, what proportion of the variability in the dependent variable is NOT explained by the independent variable(s)?