Question 1

r2 is formally known as the coefficient of indetermination.

Accepted Answer

A) True 
 B)False

Question 2

When ñ   
0,the sampling distribution of the correlation coefficient is skewed.

Accepted Answer

A) True 
 B)False

Question 3

Regression with multiple predictors is called ____________________.

Accepted Answer

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

Question 4

Confidence intervals for the correlation coefficient indicate that we are 95% confident that the true ____________________ coefficient falls within that range.

Accepted Answer

population

Question 5

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 6

We can test the null hypothesis that ñ = 0 by transforming the sample correlation
coefficient into a statistic that has a sampling distribution that closely approximates the F
distribution with k - 1 degrees of freedom.

Accepted Answer

A) True 
 B)False

Question 7

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 8

What is the technical term/phrase that is used to describe the problem in the previous question?

Accepted Answer

A) Presence of outliers 
B) Restriction of range 
C) Measurement error 
D) Standard deviation envy 
A) Presence of outliers 
B) Restriction of range 
C) Measurement error 
D) Standard deviation envy

Question 9

Another index of the strength of the effect that one variable has on another is the:

Accepted Answer

A) slope 
B) intercept 
C) error score 
D) none of these 
A) slope 
B) intercept 
C) error score 
D) none of these

Question 10

The mean of a sampling distribution of the correlation coefficient is approximately ñ,the
true population coefficient.

Accepted Answer

A) True 
 B)False

Question 11

The use of the slope as an index of effect size only makes sense when the correlation
between Y and X is relatively low.

Accepted Answer

A) True 
 B)False

Question 12

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 13

If the researcher suspects that the strength of the relationship between two variables in the population is .15,as indexed by the correlation coefficient squared,what sample size should he use in a study involving an alpha level of .05,nondirectional test,in order to achieve a power of .99?

Accepted Answer

A) 97 
B) 111 
C) 131 
D) 145 
A) 97 
B) 111 
C) 131 
D) 145

Question 14

If grade point average (GPA.and number of hours partying per week were related according to the following linear model: GPA = 4.00 - .40(Hours of partying),what GPA would you predict if you partied for 8 hours a week?

Accepted Answer

A) 0.80 
B) 2.20 
C) 1.00 
D) 3.60 
A) 0.80 
B) 2.20 
C) 1.00 
D) 3.60

Question 15

If X helps to predict Y,then the estimated _____ will be smaller than the estimated _____ of Y.

Accepted Answer

A) standard deviation;standard error of estimate 
B) standard error of estimate;standard deviation 
C) standard error of estimate;slope 
D) error scores;standard deviation 
A) standard deviation;standard error of estimate 
B) standard error of estimate;standard deviation 
C) standard error of estimate;slope 
D) error scores;standard deviation

Question 16

If the researcher suspects that the strength of the relationship between two variables in the population is .40,as indexed by the correlation coefficient squared,what sample size should she use in a study involving an alpha level of .05,directional test,in order to achieve a power of .80?

Accepted Answer

A) 13 
B) 16 
C) 20 
D) 23 
A) 13 
B) 16 
C) 20 
D) 23

Question 17

How can regression analysis be applied to individuals who were not included in the original data set?

Accepted Answer

An important characteristic of regressio

Question 18

In regression the variable being predicted is formally known as the ____________________.

Accepted Answer

The answer of In regression the variable being predicted is...

Question 19

A researcher was interested in whether testosterone was related to aggression.Testing 18 male subjects,he found a correlation coefficient of .62.What is the coefficient of determination?

Accepted Answer

A) .15 
B) .38 
C) .3844 
D) .62 
A) .15 
B) .38 
C) .3844 
D) .62

Question 20

What is a sampling distribution of the correlation coefficient?

Accepted Answer

A sampling distribution of the

r² is formally known as the coefficient of indetermination.

When ñ 0,the sampling distribution of the correlation coefficient is skewed.

Regression with multiple predictors is called ____________________.

Confidence intervals for the correlation coefficient indicate that we are 95% confident that the true ____________________ coefficient falls within that range.

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

We can test the null hypothesis that ñ = 0 by transforming the sample correlation coefficient into a statistic that has a sampling distribution that closely approximates the F distribution with k - 1 degrees of freedom.

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

What is the technical term/phrase that is used to describe the problem in the previous question?

Another index of the strength of the effect that one variable has on another is the:

The mean of a sampling distribution of the correlation coefficient is approximately ñ,the true population coefficient.

The use of the slope as an index of effect size only makes sense when the correlation between Y and X is relatively low.

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

If the researcher suspects that the strength of the relationship between two variables in the population is .15,as indexed by the correlation coefficient squared,what sample size should he use in a study involving an alpha level of .05,nondirectional test,in order to achieve a power of .99?

If grade point average (GPA.and number of hours partying per week were related according to the following linear model: GPA = 4.00 - .40(Hours of partying),what GPA would you predict if you partied for 8 hours a week?

If X helps to predict Y,then the estimated _ will be smaller than the estimated _ of Y.

If the researcher suspects that the strength of the relationship between two variables in the population is .40,as indexed by the correlation coefficient squared,what sample size should she use in a study involving an alpha level of .05,directional test,in order to achieve a power of .80?

How can regression analysis be applied to individuals who were not included in the original data set?

In regression the variable being predicted is formally known as the ____________________.

A researcher was interested in whether testosterone was related to aggression.Testing 18 male subjects,he found a correlation coefficient of .62.What is the coefficient of determination?

What is a sampling distribution of the 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

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

r2 is formally known as the coefficient of indetermination.

When ñ 0,the sampling distribution of the correlation coefficient is skewed.

Regression with multiple predictors is called ____________________.

Confidence intervals for the correlation coefficient indicate that we are 95% confident that the true ____________________ coefficient falls within that range.

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

We can test the null hypothesis that ñ = 0 by transforming the sample correlation coefficient into a statistic that has a sampling distribution that closely approximates the F distribution with k - 1 degrees of freedom.

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

What is the technical term/phrase that is used to describe the problem in the previous question?

Another index of the strength of the effect that one variable has on another is the:

The mean of a sampling distribution of the correlation coefficient is approximately ñ,the true population coefficient.

The use of the slope as an index of effect size only makes sense when the correlation between Y and X is relatively low.

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

If the researcher suspects that the strength of the relationship between two variables in the population is .15,as indexed by the correlation coefficient squared,what sample size should he use in a study involving an alpha level of .05,nondirectional test,in order to achieve a power of .99?

If grade point average (GPA.and number of hours partying per week were related according to the following linear model: GPA = 4.00 - .40(Hours of partying),what GPA would you predict if you partied for 8 hours a week?

If X helps to predict Y,then the estimated _____ will be smaller than the estimated _____ of Y.

If the researcher suspects that the strength of the relationship between two variables in the population is .40,as indexed by the correlation coefficient squared,what sample size should she use in a study involving an alpha level of .05,directional test,in order to achieve a power of .80?

How can regression analysis be applied to individuals who were not included in the original data set?

In regression the variable being predicted is formally known as the ____________________.

A researcher was interested in whether testosterone was related to aggression.Testing 18 male subjects,he found a correlation coefficient of .62.What is the coefficient of determination?

What is a sampling distribution of the 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

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

r² is formally known as the coefficient of indetermination.

If X helps to predict Y,then the estimated _ will be smaller than the estimated _ of Y.