Question 1

The traditional null hypothesis tested using the Pearson correlation is _____.

Accepted Answer

A) the correlation in the population equals 0 
B) the correlation in the population does not equal 0 
C) the correlation in the population is greater than 0 
D) the correlation in the population equals 1 
A) the correlation in the population equals 0 
B) the correlation in the population does not equal 0 
C) the correlation in the population is greater than 0 
D) the correlation in the population equals 1

Question 2

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

Question 3

When is Pearson correlation typically used to analyze the relationship between two variables?

Accepted Answer

The Pearson correlation is typically use

Question 4

The mean of a sampling distribution of the correlation coefficient is approximately:

Accepted Answer

A) ì,the true population mean 
B) ñ,the true population correlation 
C) ó,the true population correlation 
D) none of these 
A) ì,the true population mean 
B) ñ,the true population correlation 
C) ó,the true population correlation 
D) none of these

Question 5

An important characteristic of regression is that _____ can be extended to individuals who were not included in the original data set.

Accepted Answer

A) correlated errors 
B) missing data 
C) sample means 
D) predictions 
A) correlated errors 
B) missing data 
C) sample means 
D) predictions

Question 6

Which one of the following is NOT a condition under which the Pearson correlation is typically used?

Accepted Answer

A) Both variables are quantitative in nature and measured on a level that at least approximates interval characteristics. 
B) The two variables have been measured on the same individuals. 
C) The observations on each variable are within-subjects in nature. 
D) All of these are conditions under which the Pearson correlation is typically useD. 
A) Both variables are quantitative in nature and measured on a level that at least approximates interval characteristics. 
B) The two variables have been measured on the same individuals. 
C) The observations on each variable are within-subjects in nature. 
D) All of these are conditions under which the Pearson correlation is typically useD.

Question 7

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 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 estimated standard error of the estimate.

Accepted Answer

Question 8

The nature of the relationship between two correlated variables is determined through examination of the _____ of the correlation coefficient observed in the _____.

Accepted Answer

A) absolute value;population 
B) strength;population 
C) sign;sample 
D) squared value;sample 
A) absolute value;population 
B) strength;population 
C) sign;sample 
D) squared value;sample

Question 9

Suppose research conducted at a secretarial school found that reading speed correlated highly with typing speed after training,and that the regression equation based on the data from this school took the form of Y=25+.25X.A new applicant has a reading speed of 400 words per minute.With training in typing,she will probably learn to type at the rate of _____ words per minute.

Accepted Answer

A) 100 
B) 125 
C) 75 
D) 150 
A) 100 
B) 125 
C) 75 
D) 150

Question 10

The ability to make a causal inference between two variables is a function of the ______.

Accepted Answer

A) level of measurement of the variables 
B) precision of measurement of the DV 
C) research design 
D) statistical technique used to analyze the data 
A) level of measurement of the variables 
B) precision of measurement of the DV 
C) research design 
D) statistical technique used to analyze the data

Question 11

If everyone in the population has an å score of zero,then the variance of the å scores
across individuals is also zero,and Y is a perfect linear function of X.

Accepted Answer

A) True 
 B)False

Question 12

An important weakness of regression is that prediction procedures cannot be applied to
individuals who were not included in the original data set.

Accepted Answer

A) True 
 B)False

Question 13

Variance homogeneity can be problematic for the t test of the correlation coefficient,
especially if one is going to pursue estimation of the population regression equation.

Accepted Answer

A) True 
 B)False

Question 14

The null hypothesis that ñ = 0 can be tested by converting the sample correlation coefficient to a statistic that has a sampling distribution that closely approximates the

Accepted Answer

A) normal distribution. 
B) t distribution. 
C) F distribution. 
D) r distribution. 
A) normal distribution. 
B) t distribution. 
C) F distribution. 
D) r distribution.

Question 15

The estimated standard error of estimate (  
XY)differs from the standard error of estimate (sXY)in that

Accepted Answer

A)    
XY has N - 2 in the denominator,while sXY has N - 1 in the denominator 
B)    
XY has N in the denominator,while sXY has N - 2 in the denominator 
C)    
XY has N - 2 in the denominator,while sXY has N in the denominator 
D)    
XY has N - 1 in the denominator,while sXY has N - 2 in the denominator 
A)    
XY has N - 2 in the denominator,while sXY has N - 1 in the denominator 
B)    
XY has N in the denominator,while sXY has N - 2 in the denominator 
C)    
XY has N - 2 in the denominator,while sXY has N in the denominator 
D)    
XY has N - 1 in the denominator,while sXY has N - 2 in the denominator

Question 16

The sample statistic,b,is a biased estimate of â.

Accepted Answer

A) True 
 B)False

Question 17

A psychologist believes that arousal level is related to quality of performance.He obtains measures of arousal and performance on a group of 20 people,and finds a correlation coefficient of .430.If the alpha level is .05,nondirectional test,how would this result be reported in a psychological journal?

Accepted Answer

A) r(18)= .430,p > .05 
B) r(19)= .430,p > .05 
C) r(20)= .430,p  .05 
A) r(18)= .430,p > .05 
B) r(19)= .430,p > .05 
C) r(20)= .430,p  .05

Question 18

In general,if you find a statistically significant r,what can you directly conclude about the regression line?

Accepted Answer

A) The intercept of the regression line is large. 
B) The slope of the regression line is positive. 
C) The slope of the regression line is negative. 
D) The slope of the regression line is not zero. 
A) The intercept of the regression line is large. 
B) The slope of the regression line is positive. 
C) The slope of the regression line is negative. 
D) The slope of the regression line is not zero.

Question 19

The nature of the relationship in a correlation analysis is determined by examining _______.

Accepted Answer

A) r2 
B) the sign of r 
C) a Tukey HSD test 
D) inspection of group means 
A) r2 
B) the sign of r 
C) a Tukey HSD test 
D) inspection of group means

Question 20

A relationship between two variables might exist in a sample even though it does not exist
in the population.

Accepted Answer

A) True 
 B)False

The traditional null hypothesis tested using the Pearson correlation is _____.

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

When is Pearson correlation typically used to analyze the relationship between two variables?

The mean of a sampling distribution of the correlation coefficient is approximately:

An important characteristic of regression is that _____ can be extended to individuals who were not included in the original data set.

Which one of the following is NOT a condition under which the Pearson correlation is typically used?

The nature of the relationship between two correlated variables is determined through examination of the _ of the correlation coefficient observed in the _.

The ability to make a causal inference between two variables is a function of the ______.

If everyone in the population has an å score of zero,then the variance of the å scores across individuals is also zero,and Y is a perfect linear function of X.

An important weakness of regression is that prediction procedures cannot be applied to individuals who were not included in the original data set.

Variance homogeneity can be problematic for the t test of the correlation coefficient, especially if one is going to pursue estimation of the population regression equation.

The null hypothesis that ñ = 0 can be tested by converting the sample correlation coefficient to a statistic that has a sampling distribution that closely approximates the

The estimated standard error of estimate ( _XY)differs from the standard error of estimate (s_XY)in that

The sample statistic,b,is a biased estimate of â.

In general,if you find a statistically significant r,what can you directly conclude about the regression line?

The nature of the relationship in a correlation analysis is determined by examining _______.

A relationship between two variables might exist in a sample even though it does not exist in the population.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

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

Pearson Correlation and Regression: Descriptive Aspects

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

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 13: Pearson Correlation and Regression: Inferential Aspects

The traditional null hypothesis tested using the Pearson correlation is _____.

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

When is Pearson correlation typically used to analyze the relationship between two variables?

The mean of a sampling distribution of the correlation coefficient is approximately:

An important characteristic of regression is that _____ can be extended to individuals who were not included in the original data set.

Which one of the following is NOT a condition under which the Pearson correlation is typically used?

The nature of the relationship between two correlated variables is determined through examination of the _____ of the correlation coefficient observed in the _____.

The ability to make a causal inference between two variables is a function of the ______.

If everyone in the population has an å score of zero,then the variance of the å scores across individuals is also zero,and Y is a perfect linear function of X.

An important weakness of regression is that prediction procedures cannot be applied to individuals who were not included in the original data set.

Variance homogeneity can be problematic for the t test of the correlation coefficient, especially if one is going to pursue estimation of the population regression equation.

The null hypothesis that ñ = 0 can be tested by converting the sample correlation coefficient to a statistic that has a sampling distribution that closely approximates the

The estimated standard error of estimate ( XY)differs from the standard error of estimate (sXY)in that

The sample statistic,b,is a biased estimate of â.

In general,if you find a statistically significant r,what can you directly conclude about the regression line?

The nature of the relationship in a correlation analysis is determined by examining _______.

A relationship between two variables might exist in a sample even though it does not exist in the population.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

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

Pearson Correlation and Regression: Descriptive Aspects

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

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

The nature of the relationship between two correlated variables is determined through examination of the _ of the correlation coefficient observed in the _.

The estimated standard error of estimate ( _XY)differs from the standard error of estimate (s_XY)in that