Question 1

An inverse relationship and a ____________________ relationship are the same thing.

Accepted Answer

The answer of An inverse relationship and a ____________________ relationship...

Question 2

Refer to the following data set.
Individual X Y
1 2 4 SCP = 80
2 4 8 SSY = 160
3 6 12 SSX = 40
4 8 16
5 10 20
The regression equation for the prediction of Y values is _____.

Accepted Answer

A) Y=X 
B) Y=.5X 
C) Y=2X+2 
D) Y=2X 
A) Y=X 
B) Y=.5X 
C) Y=2X+2 
D) Y=2X

Question 3

A single case that can drastically change a correlation coefficient is called an ____________________.

Accepted Answer

The answer of A single case that can drastically change...

Question 4

If X helps to predict Y,then the standard deviation of Y _____.

Accepted Answer

A) is larger than the standard error of estimate 
B) is smaller than the standard error of estimate 
C) will equal the standard error of estimate 
D) will be independent of the standard error of estimate 
A) is larger than the standard error of estimate 
B) is smaller than the standard error of estimate 
C) will equal the standard error of estimate 
D) will be independent of the standard error of estimate

Question 5

Refer to the following data set.  
What is the intercept of the regression line?

Accepted Answer

A) 3.5 
B) 5.5 
C) .8 
D) -.80 
A) 3.5 
B) 5.5 
C) .8 
D) -.80

Question 6

An r value of .20 always indicates a small correlation between two variables in the behavioral science literature.

Accepted Answer

A) True 
 B)False

Question 7

Correlations for the types of variables studied any behavioral scientists will seldom exceed _____ and will often be considerably smaller.

Accepted Answer

A) -.80 or +.80 
B) -.40 or +.40 
C) -.10 or +.10 
D) -.05 or +.05 
A) -.80 or +.80 
B) -.40 or +.40 
C) -.10 or +.10 
D) -.05 or +.05

Question 8

The general form of the linear model is Y = aX + bX.

Accepted Answer

A) True 
 B)False

Question 9

The formula for computing the intercept is a = bX.

Accepted Answer

A) True 
 B)False

Question 10

The Pearson correlation coefficient (r)provides information about the ______.

Accepted Answer

A) degree of a linear relationship between two variables 
B) magnitude of the difference between two group means 
C) curvilinear effects of a predictor variable on a criterion variable 
D) degree of range restriction in your data 
A) degree of a linear relationship between two variables 
B) magnitude of the difference between two group means 
C) curvilinear effects of a predictor variable on a criterion variable 
D) degree of range restriction in your data

Question 11

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

Accepted Answer

A) .80 
B) 2.20 
C) 1.00 
D) 3.60 
A) .80 
B) 2.20 
C) 1.00 
D) 3.60

Question 12

In the case of a perfect negative linear relationship,the standard scores on X and Y will be identical.

Accepted Answer

A) True 
 B)False

Question 13

The regression equation for predicting X from Y _____ as the regression equation for predicting Y from X.

Accepted Answer

A) is not the same 
B) is exactly the same 
C) gives the same results 
D) b and c 
A) is not the same 
B) is exactly the same 
C) gives the same results 
D) b and c

Question 14

Explain why a correlation between two variables does not necessarily imply that one variable causes the other to vary as it does.

Accepted Answer

It is possible for two variables to be r

Question 15

If the value of variables X and Y are inversely related,then as a score on X ____ the value of a score on Y ____.

Accepted Answer

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

Question 16

The general form of the linear model is _____.

Accepted Answer

A) Y = bX + aX 
B) Y = a + bX 
C) Y = b + a + X 
D) Y = a + bX2 
A) Y = bX + aX 
B) Y = a + bX 
C) Y = b + a + X 
D) Y = a + bX2

Question 17

In the case of a positive or direct relationship between X and Y,as scores on X increase,scores on Y increase.

Accepted Answer

A) True 
 B)False

Question 18

The magnitude of the correlation coefficient indicates

Accepted Answer

A) the degree of non-linear approximation between two variables. 
B) the degree to which a linear relationship is approximated. 
C) the slope of the regression line. 
D) the intercept of the regression line. 
A) the degree of non-linear approximation between two variables. 
B) the degree to which a linear relationship is approximated. 
C) the slope of the regression line. 
D) the intercept of the regression line.

Question 19

Which type of relationship is graphed in the following scatterplot?

Accepted Answer

A) no relationship 
B) positive curvilinear relationship 
C) negative linear relationship 
D) positive linear relationship 
A) no relationship 
B) positive curvilinear relationship 
C) negative linear relationship 
D) positive linear relationship

Question 20

Research in the behavioral sciences is often concerned with _____ relationships.

Accepted Answer

A) qualified 
B) unsystematic 
C) linear 
D) all of these 
A) qualified 
B) unsystematic 
C) linear 
D) all of these

An inverse relationship and a ____________________ relationship are the same thing.

Refer to the following data set. Individual X Y 1 2 4 SCP = 80 2 4 8 SS_Y = 160 3 6 12 SS_X = 40 4 8 16 5 10 20 The regression equation for the prediction of Y values is _____.

A single case that can drastically change a correlation coefficient is called an ____________________.

If X helps to predict Y,then the standard deviation of Y _____.

Refer to the following data set. What is the intercept of the regression line?

An r value of .20 always indicates a small correlation between two variables in the behavioral science literature.

Correlations for the types of variables studied any behavioral scientists will seldom exceed _____ and will often be considerably smaller.

The general form of the linear model is Y = aX + bX.

The formula for computing the intercept is a = bX.

The Pearson correlation coefficient (r)provides information about the ______.

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

In the case of a perfect negative linear relationship,the standard scores on X and Y will be identical.

The regression equation for predicting X from Y _____ as the regression equation for predicting Y from X.

Explain why a correlation between two variables does not necessarily imply that one variable causes the other to vary as it does.

If the value of variables X and Y are inversely related,then as a score on X the value of a score on Y .

The general form of the linear model is _____.

In the case of a positive or direct relationship between X and Y,as scores on X increase,scores on Y increase.

The magnitude of the correlation coefficient indicates

Which type of relationship is graphed in the following scatterplot?

Research in the behavioral sciences is often concerned with _____ relationships.

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

An inverse relationship and a ____________________ relationship are the same thing.

Refer to the following data set. Individual X Y 1 2 4 SCP = 80 2 4 8 SSY = 160 3 6 12 SSX = 40 4 8 16 5 10 20 The regression equation for the prediction of Y values is _____.

A single case that can drastically change a correlation coefficient is called an ____________________.

If X helps to predict Y,then the standard deviation of Y _____.

Refer to the following data set. What is the intercept of the regression line?

An r value of .20 always indicates a small correlation between two variables in the behavioral science literature.

Correlations for the types of variables studied any behavioral scientists will seldom exceed _____ and will often be considerably smaller.

The general form of the linear model is Y = aX + bX.

The formula for computing the intercept is a = bX.

The Pearson correlation coefficient (r)provides information about the ______.

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

In the case of a perfect negative linear relationship,the standard scores on X and Y will be identical.

The regression equation for predicting X from Y _____ as the regression equation for predicting Y from X.

Explain why a correlation between two variables does not necessarily imply that one variable causes the other to vary as it does.

If the value of variables X and Y are inversely related,then as a score on X ____ the value of a score on Y ____.

The general form of the linear model is _____.

In the case of a positive or direct relationship between X and Y,as scores on X increase,scores on Y increase.

The magnitude of the correlation coefficient indicates

Which type of relationship is graphed in the following scatterplot?

Research in the behavioral sciences is often concerned with _____ relationships.

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

Refer to the following data set. Individual X Y 1 2 4 SCP = 80 2 4 8 SS_Y = 160 3 6 12 SS_X = 40 4 8 16 5 10 20 The regression equation for the prediction of Y values is _____.

If the value of variables X and Y are inversely related,then as a score on X the value of a score on Y .