Question 1

It is possible for two variables to be related to one another,but for no causal relationship to exist between them.

Accepted Answer

A) True 
 B)False

Question 2

For a perfect negative linear relationship,the z scores for the Y and X variables will tend to have _____.

Accepted Answer

A) the same sign 
B) all negative signs 
C) opposite signs 
D) an inconsistent pairing of signs 
A) the same sign 
B) all negative signs 
C) opposite signs 
D) an inconsistent pairing of signs

Question 3

If the values of the variables X and Y are directly related,then as a score in X _____ the value of a score in Y _____.

Accepted Answer

A) increase;increases 
B) increases;decreases 
C) decreases;increases 
D) none of these 
A) increase;increases 
B) increases;decreases 
C) decreases;increases 
D) none of these

Question 4

Which of the following correlation scores represents the weakest relationship?

Accepted Answer

A) .40 
B) .60 
C) -.80 
D) .09 
A) .40 
B) .60 
C) -.80 
D) .09

Question 5

Outliers are most likely to raise interpretational complexities when sample sizes are small.

Accepted Answer

A) True 
 B)False

Question 6

The Pearson correlation technique may be used to measure ______ relationships when both variables are ______ in nature.

Accepted Answer

A) curvilinear;qualitative 
B) linear;qualitative 
C) linear;quantitative 
D) curvilinear;quantitative 
A) curvilinear;qualitative 
B) linear;qualitative 
C) linear;quantitative 
D) curvilinear;quantitative

Question 7

Pearson correlation will detect linear and nonlinear relationships.

Accepted Answer

A) True 
 B)False

Question 8

Which of the following statements is true?

Accepted Answer

A) for a given set of X and Y scores there is more than one regression line when regressing Y onto X 
B) a minimum of two data points must fall directly on the regression line 
C) the equation for a regression line is defined by the slope and the intercept 
D) a regression line has at least two intercepts 
A) for a given set of X and Y scores there is more than one regression line when regressing Y onto X 
B) a minimum of two data points must fall directly on the regression line 
C) the equation for a regression line is defined by the slope and the intercept 
D) a regression line has at least two intercepts

Question 9

In the regression equation,  
= 3)36 + 1.23X,which value is the y-intercept of the line?

Accepted Answer

A) 3.36 
B) X 
C) 1.23 
D) cannot be determined 
A) 3.36 
B) X 
C) 1.23 
D) cannot be determined

Question 10

Correlational analysis frequently demonstrates how one variable ______.

Accepted Answer

A) causes the value of the other variable 
B) is caused by the value of the other variable 
C) is caused by a third variable 
D) may be related to another variable 
A) causes the value of the other variable 
B) is caused by the value of the other variable 
C) is caused by a third variable 
D) may be related to another variable

Question 11

The technique which minimizes the squared vertical distances from the regression line to the data points is called the _____.

Accepted Answer

A) correlation line 
B) method of least squares 
C) slope minimization technique 
D) truncation of range technique 
A) correlation line 
B) method of least squares 
C) slope minimization technique 
D) truncation of range technique

Question 12

What is the Pearson correlation coefficient?

Accepted Answer

The Pearson correlation coefficient,repr

Question 13

The _____ of a line indicates the number of units variable Y changes as variable X changes by 1 unit.

Accepted Answer

A) slope 
B) intercept 
C) scatterplot 
D) residual 
A) slope 
B) intercept 
C) scatterplot 
D) residual

Question 14

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 15

Which of the following linear relationships describes a situation in which the value of one variable increases as the value of the second variable decreases?

Accepted Answer

A) -.35 
B) .00 
C) .75 
D) 1.00 
A) -.35 
B) .00 
C) .75 
D) 1.00

Question 16

The correlation of any variable with itself is always ____________________.

Accepted Answer

The answer of The correlation of any variable with itself...

Question 17

A slope of _____ would be represented by a _____ line.

Accepted Answer

A) 1.0;nonlinear 
B) 0;horizontal 
C) -1.0;horizontal 
D) 1.0;horizontal 
A) 1.0;nonlinear 
B) 0;horizontal 
C) -1.0;horizontal 
D) 1.0;horizontal

Question 18

Which correlation coefficient most closely represents the relationship depicted in the scatterplot below?

Accepted Answer

A) .75 
B) .35 
C) .02 
D) -.44 
A) .75 
B) .35 
C) .02 
D) -.44

Question 19

The _____ represents the average error across individuals in predicting scores on Y from the regression equation.

Accepted Answer

A) regression line 
B) correlation coefficient 
C) slope 
D) standard error of estimate 
A) regression line 
B) correlation coefficient 
C) slope 
D) standard error of estimate

Question 20

Which of the following correlation values represents the strongest relationship?

Accepted Answer

A) .20 
B) 60 
C) -.70 
D) .09 
A) .20 
B) 60 
C) -.70 
D) .09

It is possible for two variables to be related to one another,but for no causal relationship to exist between them.

For a perfect negative linear relationship,the z scores for the Y and X variables will tend to have _____.

If the values of the variables X and Y are directly related,then as a score in X _ the value of a score in Y _.

Which of the following correlation scores represents the weakest relationship?

Outliers are most likely to raise interpretational complexities when sample sizes are small.

The Pearson correlation technique may be used to measure relationships when both variables are in nature.

Pearson correlation will detect linear and nonlinear relationships.

Which of the following statements is true?

In the regression equation, = 3)36 + 1.23X,which value is the y-intercept of the line?

Correlational analysis frequently demonstrates how one variable ______.

The technique which minimizes the squared vertical distances from the regression line to the data points is called the _____.

What is the Pearson correlation coefficient?

The _____ of a line indicates the number of units variable Y changes as variable X changes by 1 unit.

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

Which of the following linear relationships describes a situation in which the value of one variable increases as the value of the second variable decreases?

The correlation of any variable with itself is always ____________________.

A slope of _ would be represented by a _ line.

Which correlation coefficient most closely represents the relationship depicted in the scatterplot below?

The _____ represents the average error across individuals in predicting scores on Y from the regression equation.

Which of the following correlation values represents the strongest relationship?

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

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

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

It is possible for two variables to be related to one another,but for no causal relationship to exist between them.

For a perfect negative linear relationship,the z scores for the Y and X variables will tend to have _____.

If the values of the variables X and Y are directly related,then as a score in X _____ the value of a score in Y _____.

Which of the following correlation scores represents the weakest relationship?

Outliers are most likely to raise interpretational complexities when sample sizes are small.

The Pearson correlation technique may be used to measure ______ relationships when both variables are ______ in nature.

Pearson correlation will detect linear and nonlinear relationships.

Which of the following statements is true?

In the regression equation, = 3)36 + 1.23X,which value is the y-intercept of the line?

Correlational analysis frequently demonstrates how one variable ______.

The technique which minimizes the squared vertical distances from the regression line to the data points is called the _____.

What is the Pearson correlation coefficient?

The _____ of a line indicates the number of units variable Y changes as variable X changes by 1 unit.

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

Which of the following linear relationships describes a situation in which the value of one variable increases as the value of the second variable decreases?

The correlation of any variable with itself is always ____________________.

A slope of _____ would be represented by a _____ line.

Which correlation coefficient most closely represents the relationship depicted in the scatterplot below?

The _____ represents the average error across individuals in predicting scores on Y from the regression equation.

Which of the following correlation values represents the strongest relationship?

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

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

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

If the values of the variables X and Y are directly related,then as a score in X _ the value of a score in Y _.

The Pearson correlation technique may be used to measure relationships when both variables are in nature.

A slope of _ would be represented by a _ line.