Question 1

What are the assumptions of Pearson correlation?

Accepted Answer

The test of the null hypothesis that ñ =

Question 2

The Pearson correlation is typically used to analyze the relationship between two variables when:

Accepted Answer

A) both variables are qualitative in nature 
B) the two variables have been measured on different individuals 
C) the observations on each variable are within-subjects in natured. 
D) none of these 
A) both variables are qualitative in nature 
B) the two variables have been measured on different individuals 
C) the observations on each variable are within-subjects in natured. 
D) none of these

Question 3

In practice,the most common use of correlation procedures involves making inferences
about correlation coefficients in populations based on sample data.

Accepted Answer

A) True 
 B)False

Question 4

Perfect linear relationships between Y and X are relatively common in the behavioral sciences.

Accepted Answer

A) True 
 B)False

Question 5

When r ¹ 0,the sampling distribution of r is normal in shape.

Accepted Answer

A) True 
 B)False

Question 6

When the population correlation coefficient is zero and the scores in the population are
(bivariate)normally distributed,then as N increases the distribution of the sample
correlation coefficients tends,somewhat slowly,toward a binomial distribution.

Accepted Answer

A) True 
 B)False

Question 7

Pearson correlation is typically used to analyze the relationship between two variables when the observations on each variable are within-subjects in nature.

Accepted Answer

A) True 
 B)False

Question 8

Regression with multiple predictors is called ____________________.

Accepted Answer

The answer of Regression with multiple predictors is called ____________________....

Question 9

What is the estimated standard error of estimate?

Accepted Answer

Unless the two variables are perfectly c

Question 10

A positive correlation between height and weight would indicate that _____.

Accepted Answer

A) the taller a person is,the more he/she is likely to weigh 
B) the taller a person is,the less he/she is likely to weigh 
C) height and weight have little to do with each other 
A) the taller a person is,the more he/she is likely to weigh 
B) the taller a person is,the less he/she is likely to weigh 
C) height and weight have little to do with each other

Question 11

A researcher was interested in whether testosterone was related to aggression.Testing 18 male subjects,he found a correlation coefficient of .62.If the standard deviation estimate for Y was 13.2,what is the estimated standard error of estimate?

Accepted Answer

A) 2.94 
B) 5.17 
C) 8.63 
D) 10.68 
A) 2.94 
B) 5.17 
C) 8.63 
D) 10.68

Question 12

When using Pearson correlation for inference to a population,the degrees of freedom are ____.

Accepted Answer

The answer of When using Pearson correlation for inference to...

Question 13

A social psychologist is interested in whether education level is related the number of desired children.She obtains an r value of -.24 with 62 subjects.What can we conclude from this study? Base your answer on whether the correlation is significant or not,using an alpha level of .05,nondirectional test.

Accepted Answer

A) A higher education level is significantly related to a larger number of desired children. 
B) A higher education level is significantly related to a smaller number of desired children. 
C) Education level is not significantly related to number of desired children. 
D) Cannot be determined 
A) A higher education level is significantly related to a larger number of desired children. 
B) A higher education level is significantly related to a smaller number of desired children. 
C) Education level is not significantly related to number of desired children. 
D) Cannot be determined

Question 14

Variance heterogeneity can be problematic for the t test of the Pearson correlation coefficient,especially if one is going to pursue estimation of the:

Accepted Answer

A) population variance 
B) sample correlation coefficient 
C) population regression equation 
D) population mean 
A) population variance 
B) sample correlation coefficient 
C) population regression equation 
D) population mean

Question 15

Discuss the robustness of Pearson correlation.

Accepted Answer

While it is important that the assumptio

Question 16

To test the null hypothesis that ñ = 0,the scatterplot of X and Y scores should represent a bivariate normal distribution,which means that

Accepted Answer

A) the distribution of Y scores at any value of X is normal in the population 
B) the distribution of Y scores is normal in the population 
C) the distribution of X scores is normal in the population 
D) none of these 
A) the distribution of Y scores at any value of X is normal in the population 
B) the distribution of Y scores is normal in the population 
C) the distribution of X scores is normal in the population 
D) none of these

Question 17

The test of the null hypothesis that ñ = 0 is based on the assumption that:

Accepted Answer

A) the sample is independently and randomly selected from the population of interest 
B) the distribution of Y scores at any value of X is normal on the population 
C) the variability of Y scores is the same at each value of X 
D) all of these 
A) the sample is independently and randomly selected from the population of interest 
B) the distribution of Y scores at any value of X is normal on the population 
C) the variability of Y scores is the same at each value of X 
D) all of these

Question 18

r2 is formally known as the coefficient of indetermination.

Accepted Answer

A) True 
 B)False

Question 19

In regression analysis,the choice of which variable is the predictor (X)and which is the criterion (Y),is determined by the researcher.

Accepted Answer

A) True 
 B)False

Question 20

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

What are the assumptions of Pearson correlation?

The Pearson correlation is typically used to analyze the relationship between two variables when:

In practice,the most common use of correlation procedures involves making inferences about correlation coefficients in populations based on sample data.

Perfect linear relationships between Y and X are relatively common in the behavioral sciences.

When r ¹ 0,the sampling distribution of r is normal in shape.

When the population correlation coefficient is zero and the scores in the population are (bivariate)normally distributed,then as N increases the distribution of the sample correlation coefficients tends,somewhat slowly,toward a binomial distribution.

Pearson correlation is typically used to analyze the relationship between two variables when the observations on each variable are within-subjects in nature.

Regression with multiple predictors is called ____________________.

What is the estimated standard error of estimate?

A positive correlation between height and weight would indicate that _____.

A researcher was interested in whether testosterone was related to aggression.Testing 18 male subjects,he found a correlation coefficient of .62.If the standard deviation estimate for Y was 13.2,what is the estimated standard error of estimate?

When using Pearson correlation for inference to a population,the degrees of freedom are ____.

Variance heterogeneity can be problematic for the t test of the Pearson correlation coefficient,especially if one is going to pursue estimation of the:

Discuss the robustness of Pearson correlation.

To test the null hypothesis that ñ = 0,the scatterplot of X and Y scores should represent a bivariate normal distribution,which means that

The test of the null hypothesis that ñ = 0 is based on the assumption that:

r² is formally known as the coefficient of indetermination.

In regression analysis,the choice of which variable is the predictor (X)and which is the criterion (Y),is determined by the researcher.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

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

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 14: Pearson Correlation and Regression: Inferential Aspects

What are the assumptions of Pearson correlation?

The Pearson correlation is typically used to analyze the relationship between two variables when:

In practice,the most common use of correlation procedures involves making inferences about correlation coefficients in populations based on sample data.

Perfect linear relationships between Y and X are relatively common in the behavioral sciences.

When r ¹ 0,the sampling distribution of r is normal in shape.

When the population correlation coefficient is zero and the scores in the population are (bivariate)normally distributed,then as N increases the distribution of the sample correlation coefficients tends,somewhat slowly,toward a binomial distribution.

Pearson correlation is typically used to analyze the relationship between two variables when the observations on each variable are within-subjects in nature.

Regression with multiple predictors is called ____________________.

What is the estimated standard error of estimate?

A positive correlation between height and weight would indicate that _____.

A researcher was interested in whether testosterone was related to aggression.Testing 18 male subjects,he found a correlation coefficient of .62.If the standard deviation estimate for Y was 13.2,what is the estimated standard error of estimate?

When using Pearson correlation for inference to a population,the degrees of freedom are ____.

Variance heterogeneity can be problematic for the t test of the Pearson correlation coefficient,especially if one is going to pursue estimation of the:

Discuss the robustness of Pearson correlation.

To test the null hypothesis that ñ = 0,the scatterplot of X and Y scores should represent a bivariate normal distribution,which means that

The test of the null hypothesis that ñ = 0 is based on the assumption that:

r2 is formally known as the coefficient of indetermination.

In regression analysis,the choice of which variable is the predictor (X)and which is the criterion (Y),is determined by the researcher.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

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

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

r² is formally known as the coefficient of indetermination.