Question 1

In a regression equation,the variable from which predictions are being made (or_______)is known as a(n)______ variable.

Accepted Answer

A) X;dependent or criterion 
B) X;independent or predictor 
C) Y;dependent or criterion 
D) Y;independent or predictor 
A) X;dependent or criterion 
B) X;independent or predictor 
C) Y;dependent or criterion 
D) Y;independent or predictor B

Question 2

Another useful index of the strength of the effect of one variable on another is the
intercept.

Accepted Answer

A) True 
 B)False  False

Question 3

Imagine you are interested in researching the relationship between job experience and income among early-career working professionals.You take a random sample of 32 professionals from the nearest city,and you ask them to report their annual income and submit a resumé outlining their professional experience.You later calculate their years of experience from their resumés.You compute the following information:  
What is the observed t-value for testing the null hypothesis?

Accepted Answer

A) 6.96 
B) 2.78 
C) 2.86 
D) 1.87 
A) 6.96 
B) 2.78 
C) 2.86 
D) 1.87 B

Question 4

The traditional null hypothesis for the inferential test of a correlation coefficient states that the correlation in the population (r)_____.

Accepted Answer

A) does not equal 0 
B) equals 0 
C) is greater than 0 
D) equals $\pm$1.00 
A) does not equal 0 
B) equals 0 
C) is greater than 0 
D) equals $\pm$1.00

Question 5

The assumption of bivariate normality refers to

Accepted Answer

A) the variances of the Y scores being equal at every value of X in the population. 
B) the sample being independently and randomly selected from the population. 
C) the population distributions of X and Y each being normal in shape. 
D) the requirement that the distribution of Y scores be normal in the population at every value of X. 
A) the variances of the Y scores being equal at every value of X in the population. 
B) the sample being independently and randomly selected from the population. 
C) the population distributions of X and Y each being normal in shape. 
D) the requirement that the distribution of Y scores be normal in the population at every value of X.

Question 6

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 7

The equation for the general linear model contains Greek letters to indicate that the slope,intercept,and error terms refer to population values.

Accepted Answer

A) True 
 B)False

Question 8

r2 represent the proportion of variability that is shared by the two variables.

Accepted Answer

A) True 
 B)False

Question 9

When the population correlation coefficient is greater than 0,the sampling distribution is ______.

Accepted Answer

A) positively skewed 
B) negatively skewed 
C) symmetrical and approximately normal 
D) bimodal 
A) positively skewed 
B) negatively skewed 
C) symmetrical and approximately normal 
D) bimodal

Question 10

The estimated standard error of estimate estimates the average error that will be made
across individuals when predicting scores on X from the regression equation.

Accepted Answer

A) True 
 B)False

Question 11

What does the estimated standard error of the estimate represent?

Accepted Answer

A) The standard deviation of the cross products for X and Y 
B) The degree to which outliers are influencing your correlation coefficient 
C) The degree to which restricted range has influenced your prediction of Y from X 
D) Average error when using the regression equation to predict Y from X 
A) The standard deviation of the cross products for X and Y 
B) The degree to which outliers are influencing your correlation coefficient 
C) The degree to which restricted range has influenced your prediction of Y from X 
D) Average error when using the regression equation to predict Y from X

Question 12

In the linear model Y = á + âX + å,what does the å term represent?

Accepted Answer

It is rare in the behavioral sciences th

Question 13

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 14

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.If the sum of squares for Y is 634,what is the estimated standard error of estimate?

Accepted Answer

A) 3.16 
B) 3.34 
C) 9.96 
D) 11.18 
A) 3.16 
B) 3.34 
C) 9.96 
D) 11.18

Question 15

Pearson correlation is used to analyze the relationship between two variables when both variables are qualitative and measured on at least an ordinal level.

Accepted Answer

A) True 
 B)False

Question 16

An advantage of the regression equation is that it can be used to predict ____________________ for people who were not in the original sample.

Accepted Answer

The answer of An advantage of the regression equation is...

Question 17

If X helps to predict Y,then the estimated standard error of estimate will be _____ than the estimated standard deviation of _____.

Accepted Answer

A) larger;X 
B) larger;Y 
C) smaller;X 
D) smaller;Y 
A) larger;X 
B) larger;Y 
C) smaller;X 
D) smaller;Y

Question 18

If a relationship is observed between two variables in a set of sample data,this _____ that a relationship exists in the corresponding population.

Accepted Answer

A) does not always mean 
B) always means 
A) does not always mean 
B) always means

Question 19

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 20

Which of the following values represents the strongest correlation between variables?

Accepted Answer

A) 0 
B) -.80 
C) +.75 
D) -.15 
A) 0 
B) -.80 
C) +.75 
D) -.15

In a regression equation,the variable from which predictions are being made (or_)is known as a(n) variable.

Another useful index of the strength of the effect of one variable on another is the intercept.

The traditional null hypothesis for the inferential test of a correlation coefficient states that the correlation in the population (r)_____.

The assumption of bivariate normality refers to

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

The equation for the general linear model contains Greek letters to indicate that the slope,intercept,and error terms refer to population values.

r² represent the proportion of variability that is shared by the two variables.

When the population correlation coefficient is greater than 0,the sampling distribution is ______.

The estimated standard error of estimate estimates the average error that will be made across individuals when predicting scores on X from the regression equation.

What does the estimated standard error of the estimate represent?

In the linear model Y = á + âX + å,what does the å term represent?

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

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.If the sum of squares for Y is 634,what is the estimated standard error of estimate?

Pearson correlation is used to analyze the relationship between two variables when both variables are qualitative and measured on at least an ordinal level.

An advantage of the regression equation is that it can be used to predict ____________________ for people who were not in the original sample.

If X helps to predict Y,then the estimated standard error of estimate will be _ than the estimated standard deviation of _.

If a relationship is observed between two variables in a set of sample data,this _____ that a relationship exists in the corresponding population.

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

Which of the following values represents the strongest correlation between variables?

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

In a regression equation,the variable from which predictions are being made (or_______)is known as a(n)______ variable.

Another useful index of the strength of the effect of one variable on another is the intercept.

The traditional null hypothesis for the inferential test of a correlation coefficient states that the correlation in the population (r)_____.

The assumption of bivariate normality refers to

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

The equation for the general linear model contains Greek letters to indicate that the slope,intercept,and error terms refer to population values.

r2 represent the proportion of variability that is shared by the two variables.

When the population correlation coefficient is greater than 0,the sampling distribution is ______.

The estimated standard error of estimate estimates the average error that will be made across individuals when predicting scores on X from the regression equation.

What does the estimated standard error of the estimate represent?

In the linear model Y = á + âX + å,what does the å term represent?

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

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.If the sum of squares for Y is 634,what is the estimated standard error of estimate?

Pearson correlation is used to analyze the relationship between two variables when both variables are qualitative and measured on at least an ordinal level.

An advantage of the regression equation is that it can be used to predict ____________________ for people who were not in the original sample.

If X helps to predict Y,then the estimated standard error of estimate will be _____ than the estimated standard deviation of _____.

If a relationship is observed between two variables in a set of sample data,this _____ that a relationship exists in the corresponding population.

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

Which of the following values represents the strongest correlation between variables?

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

In a regression equation,the variable from which predictions are being made (or_)is known as a(n) variable.

r² represent the proportion of variability that is shared by the two variables.

If X helps to predict Y,then the estimated standard error of estimate will be _ than the estimated standard deviation of _.