Question 1

If two variables are perfectly correlated,then ____.

Accepted Answer

A) all data points fall on the regression line 
B) the average error in predicting scores is very large 
C) the standard error of estimate is very large 
D) an increase in x leads to no change in Y 
A) all data points fall on the regression line 
B) the average error in predicting scores is very large 
C) the standard error of estimate is very large 
D) an increase in x leads to no change in Y

Question 2

The correlation that has been found between the amount of violence watched on television and aggressive behavior in children proves that watching violent television programs causes aggressive behavior.

Accepted Answer

A) True 
 B)False

Question 3

Researchers were recently surprised to learn that the correlation between the type of clothing people wear when they are not working and the type of jobs they hold is approximately zero.Based on this,we can conclude that _____.

Accepted Answer

A) people with lower status jobs tend to dress worse than people with higher status jobs 
B) people with higher status jobs tend to dress better on and off the job 
C) there is no relationship between the types of clothing worn in non-work settings and the type of work that people do 
D) people with higher status jobs tend to dress worse when they are not at work 
E) people with lower status jobs tend to wear the same clothing both on and off the job 
A) people with lower status jobs tend to dress worse than people with higher status jobs 
B) people with higher status jobs tend to dress better on and off the job 
C) there is no relationship between the types of clothing worn in non-work settings and the type of work that people do 
D) people with higher status jobs tend to dress worse when they are not at work 
E) people with lower status jobs tend to wear the same clothing both on and off the job

Question 4

The slope of a line tells you ______.

Accepted Answer

A) the change in Y for every 1-unit change in X 
B) the change X for every 1-unit change in Y 
C) the predicted value of Y when X equals zero 
D) the average amount of error when predicting Y from X 
A) the change in Y for every 1-unit change in X 
B) the change X for every 1-unit change in Y 
C) the predicted value of Y when X equals zero 
D) the average amount of error when predicting Y from X

Question 5

The sum of the cross-products indicates the extent to which two sets of scores _____.

Accepted Answer

A) vary from their mean 
B) vary from the grand mean 
C) covary 
D) depart from individual variation 
A) vary from their mean 
B) vary from the grand mean 
C) covary 
D) depart from individual variation

Question 6

When a correlation is perfect and positive,which of the following holds true?

Accepted Answer

A) r=1.00 
B) r=.00 
C) r=-1.00 
D) both a and b 
A) r=1.00 
B) r=.00 
C) r=-1.00 
D) both a and b

Question 7

What are outliers and how do they effect the correlation coefficient?

Accepted Answer

An outlier is an "aberrant" case.Just as

Question 8

If you compute a negative Pearson r between two variables (X and Y),this tells you that _____.

Accepted Answer

A) higher scores on X are associated with higher scores on Y 
B) higher scores on X are associated with lower scores on Y 
C) X and Y are unrelated to each other in the population 
D) you have made a computational error 
A) higher scores on X are associated with higher scores on Y 
B) higher scores on X are associated with lower scores on Y 
C) X and Y are unrelated to each other in the population 
D) you have made a computational error

Question 9

The criterion for deriving the values of the slope and intercept in a linear regression problem is formally known as the:

Accepted Answer

A) maximum likelihood criterion 
B) oblique squares criterion 
C) least squares criterion 
D) sum of squares criterion 
A) maximum likelihood criterion 
B) oblique squares criterion 
C) least squares criterion 
D) sum of squares criterion

Question 10

Outliers are most likely to produce misleading results when:

Accepted Answer

A) sample sizes are small 
B) sample sizes are large 
C) correlation coefficients are small 
D) correlation coefficients are large 
A) sample sizes are small 
B) sample sizes are large 
C) correlation coefficients are small 
D) correlation coefficients are large

Question 11

Which type of relationship is graphed in the following scatterplot?

Accepted Answer

A) no relationship 
B) positive curvilinear relationship 
C) negative linear relationship 
D) positive linear relationship 
A) no relationship 
B) positive curvilinear relationship 
C) negative linear relationship 
D) positive linear relationship

Question 12

The largest correlation coefficient that can be observed under any circumstance is _____.

Accepted Answer

A) 100% 
B)  $\pm$1.00 
C) +1.00 
D) unlimited 
A) 100% 
B)  $\pm$1.00 
C) +1.00 
D) unlimited

Question 13

When a regression equation is computed using standardized X and Y scores,the slope will always equal 0.

Accepted Answer

A) True 
 B)False

Question 14

Define the standard error of estimate and discuss how it is interpreted.

Accepted Answer

The standard error of estimate represent

Question 15

Outliers are most likely to raise interpretational complexities when:

Accepted Answer

A) sample sizes are small 
B) sample sizes are large 
C) correlation coefficients are small 
D) correlation coefficients are large 
A) sample sizes are small 
B) sample sizes are large 
C) correlation coefficients are small 
D) correlation coefficients are large

Question 16

The absolute magnitude of the standard error of the estimate is not meaningful.

Accepted Answer

A) True 
 B)False

Question 17

In a regression equation,the slope and intercept are defined so as to maximize the squared vertical distances that the data points,considered collectively,are from the regression line.

Accepted Answer

A) True 
 B)False

Question 18

The y-intercept tells you ______.

Accepted Answer

A) the change in Y for every 1-unit change in X 
B) the change X for every 1-unit change in Y 
C) the predicted value of Y when X equals zero 
D) the average amount of error when predicting Y from X 
A) the change in Y for every 1-unit change in X 
B) the change X for every 1-unit change in Y 
C) the predicted value of Y when X equals zero 
D) the average amount of error when predicting Y from X

Question 19

Which correlation coefficient most closely represents the relationship depicted in the scatterplot below?

Accepted Answer

A) -.75 
B) +.15 
C) -.15 
D) +.75 
A) -.75 
B) +.15 
C) -.15 
D) +.75

Question 20

From a conceptual perspective,the tradition is to designate the independent variable as the _____ variable and the dependent variable as the _____ variable.

Accepted Answer

A) linear;nonlinear 
B) Y;X 
C) standardized;unstandardized 
D) X;Y 
A) linear;nonlinear 
B) Y;X 
C) standardized;unstandardized 
D) X;Y

If two variables are perfectly correlated,then ____.

The correlation that has been found between the amount of violence watched on television and aggressive behavior in children proves that watching violent television programs causes aggressive behavior.

Researchers were recently surprised to learn that the correlation between the type of clothing people wear when they are not working and the type of jobs they hold is approximately zero.Based on this,we can conclude that _____.

The slope of a line tells you ______.

The sum of the cross-products indicates the extent to which two sets of scores _____.

When a correlation is perfect and positive,which of the following holds true?

What are outliers and how do they effect the correlation coefficient?

If you compute a negative Pearson r between two variables (X and Y),this tells you that _____.

The criterion for deriving the values of the slope and intercept in a linear regression problem is formally known as the:

Outliers are most likely to produce misleading results when:

Which type of relationship is graphed in the following scatterplot?

The largest correlation coefficient that can be observed under any circumstance is _____.

When a regression equation is computed using standardized X and Y scores,the slope will always equal 0.

Define the standard error of estimate and discuss how it is interpreted.

Outliers are most likely to raise interpretational complexities when:

The absolute magnitude of the standard error of the estimate is not meaningful.

In a regression equation,the slope and intercept are defined so as to maximize the squared vertical distances that the data points,considered collectively,are from the regression line.

The y-intercept tells you ______.

Which correlation coefficient most closely represents the relationship depicted in the scatterplot below?

From a conceptual perspective,the tradition is to designate the independent variable as the _ variable and the dependent variable as the _ variable.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 5: Pearson Correlation and Regression: Descriptive Aspects

If two variables are perfectly correlated,then ____.

The correlation that has been found between the amount of violence watched on television and aggressive behavior in children proves that watching violent television programs causes aggressive behavior.

Researchers were recently surprised to learn that the correlation between the type of clothing people wear when they are not working and the type of jobs they hold is approximately zero.Based on this,we can conclude that _____.

The slope of a line tells you ______.

The sum of the cross-products indicates the extent to which two sets of scores _____.

When a correlation is perfect and positive,which of the following holds true?

What are outliers and how do they effect the correlation coefficient?

If you compute a negative Pearson r between two variables (X and Y),this tells you that _____.

The criterion for deriving the values of the slope and intercept in a linear regression problem is formally known as the:

Outliers are most likely to produce misleading results when:

Which type of relationship is graphed in the following scatterplot?

The largest correlation coefficient that can be observed under any circumstance is _____.

When a regression equation is computed using standardized X and Y scores,the slope will always equal 0.

Define the standard error of estimate and discuss how it is interpreted.

Outliers are most likely to raise interpretational complexities when:

The absolute magnitude of the standard error of the estimate is not meaningful.

In a regression equation,the slope and intercept are defined so as to maximize the squared vertical distances that the data points,considered collectively,are from the regression line.

The y-intercept tells you ______.

Which correlation coefficient most closely represents the relationship depicted in the scatterplot below?

From a conceptual perspective,the tradition is to designate the independent variable as the _____ variable and the dependent variable as the _____ variable.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

Correlated Groups T-Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

From a conceptual perspective,the tradition is to designate the independent variable as the _ variable and the dependent variable as the _ variable.