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

Refer to the following data set.  
What is the correlation between X and Y?

Accepted Answer

A) .09 
B) .92 
C) .80 
D) -.80 
A) .09 
B) .92 
C) .80 
D) -.80

Question 3

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 4

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

Accepted Answer

An outlier is an "aberrant" case.Just as

Question 5

Linear relationships can differ in terms of the values of their intercepts as well as in the values of their slopes.

Accepted Answer

A) True 
 B)False

Question 6

The range of the correlation coefficient is from -1.00 to ____________________.

Accepted Answer

The answer of The range of the correlation coefficient is...

Question 7

When two variables (X and Y)are strongly correlated we can be reasonably sure that X causes Y.

Accepted Answer

A) True 
 B)False

Question 8

Suppose you were interested in conducting a study examining how ratings of similarity between oneself and another person were related to how attracted one is to the other person.You conduct this study by giving participants a description of a person named "Sarah." Participants are asked to read the description and then rate on a scale from 1 to 10 how similar Sarah is to themselves.You also ask each participant to rate on a scale from 1 to 20 how likeable they think Sarah is.
X = rating of similarity of target to oneself
Y = rating of likability of the target ("Sarah")
62 people participate in your study,and you obtain the following data: $ \bar{X} $ = 6.00 
SCP = 66 
$ \bar{Y} $ = 10.00 
SSX = 40
SSY = 136
Calculate the y-intercept for the regression equation for the above data.

Accepted Answer

Question 9

The formula for computing the intercept is a = bX.

Accepted Answer

A) True 
 B)False

Question 10

The number in a correlation matrix where a row intersects a column is

Accepted Answer

A) the frequency of the X variable. 
B) the frequency of the Y variable. 
C) a correlation coefficient. 
D) both a and c 
E) both b and c 
A) the frequency of the X variable. 
B) the frequency of the Y variable. 
C) a correlation coefficient. 
D) both a and c 
E) both b and c

Question 11

What is the Pearson correlation coefficient?

Accepted Answer

The Pearson correlation coefficient,repr

Question 12

There seems to be a negative correlation between the number of errors made on an exam and the level of satisfaction with performance.What does this mean?

Accepted Answer

A) a high level of satisfaction with performance causes more errors on an exam 
B) a low level of satisfaction with performance causes more errors on an exam 
C) there is a tendency for those with a high level of satisfaction with performance to have made more errors on an exam 
D) there is a tendency for those with a low level of satisfaction with performance to have made more errors on an exam 
A) a high level of satisfaction with performance causes more errors on an exam 
B) a low level of satisfaction with performance causes more errors on an exam 
C) there is a tendency for those with a high level of satisfaction with performance to have made more errors on an exam 
D) there is a tendency for those with a low level of satisfaction with performance to have made more errors on an exam

Question 13

Refer to the following data set.
Individual X Y
 
The correlation coefficient for the above is ______.

Accepted Answer

A) r=.75 
B) r=-1.00 
C) 1.00 
D) 0.00 
A) r=.75 
B) r=-1.00 
C) 1.00 
D) 0.00

Question 14

Suppose you were interested in conducting a study examining how ratings of similarity between oneself and another person were related to how attracted one is to the other person.You conduct this study by giving participants a description of a person named "Sarah." Participants are asked to read the description and then rate on a scale from 1 to 10 how similar Sarah is to themselves.You also ask each participant to rate on a scale from 1 to 20 how likeable they think Sarah is.
X = rating of similarity of target to oneself
Y = rating of likability of the target ("Sarah")
62 people participate in your study,and you obtain the following data:   
= 6.00 SCP = 66   
= 10.00 SSX = 40
SSY = 136
Calculate the Pearson correlation coefficient for the above data.

Accepted Answer

Question 15

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 16

From a statistical perspective,the designation of one variable as the X variable and one variable as the Y variable is arbitrary.

Accepted Answer

A) True 
 B)False

Question 17

Restricting the range of two variables will always lower the correlation between them.

Accepted Answer

A) True 
 B)False

Question 18

When there is no linear relationship between X and Y,the z scores on X will bear no consistent relationship to the z scores on Y,either in size or sign.

Accepted Answer

A) True 
 B)False

Question 19

Correlation and regression are appropriate for both linear and nonlinear relationships.

Accepted Answer

A) True 
 B)False

Question 20

An outlier may influence the _____ of a correlation coefficient.

Accepted Answer

A) magnitude 
B) sign 
C) both magnitude and sign 
A) magnitude 
B) sign 
C) both magnitude and sign

If two variables are perfectly correlated,then ____.

Refer to the following data set. What is the correlation between X and Y?

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

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

Linear relationships can differ in terms of the values of their intercepts as well as in the values of their slopes.

The range of the correlation coefficient is from -1.00 to ____________________.

When two variables (X and Y)are strongly correlated we can be reasonably sure that X causes Y.

The formula for computing the intercept is a = bX.

The number in a correlation matrix where a row intersects a column is

What is the Pearson correlation coefficient?

There seems to be a negative correlation between the number of errors made on an exam and the level of satisfaction with performance.What does this mean?

Refer to the following data set. Individual X Y The correlation coefficient for the above is ______.

The y-intercept tells you ______.

From a statistical perspective,the designation of one variable as the X variable and one variable as the Y variable is arbitrary.

Restricting the range of two variables will always lower the correlation between them.

When there is no linear relationship between X and Y,the z scores on X will bear no consistent relationship to the z scores on Y,either in size or sign.

Correlation and regression are appropriate for both linear and nonlinear relationships.

An outlier may influence the _____ of a correlation coefficient.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

Probability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

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 ____.

Refer to the following data set. What is the correlation between X and Y?

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

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

Linear relationships can differ in terms of the values of their intercepts as well as in the values of their slopes.

The range of the correlation coefficient is from -1.00 to ____________________.

When two variables (X and Y)are strongly correlated we can be reasonably sure that X causes Y.

The formula for computing the intercept is a = bX.

The number in a correlation matrix where a row intersects a column is

What is the Pearson correlation coefficient?

There seems to be a negative correlation between the number of errors made on an exam and the level of satisfaction with performance.What does this mean?

Refer to the following data set. Individual X Y The correlation coefficient for the above is ______.

The y-intercept tells you ______.

From a statistical perspective,the designation of one variable as the X variable and one variable as the Y variable is arbitrary.

Restricting the range of two variables will always lower the correlation between them.

When there is no linear relationship between X and Y,the z scores on X will bear no consistent relationship to the z scores on Y,either in size or sign.

Correlation and regression are appropriate for both linear and nonlinear relationships.

An outlier may influence the _____ of a correlation coefficient.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

Probability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

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