Question 1

A sum of squares indicates the extent to which two sets of scores vary from one another,or covary.

Accepted Answer

A) True 
 B)False  False

Question 2

The point at which a line intersects the Y axis when X = 1.0 is called the intercept.

Accepted Answer

A) True 
 B)False  False

Question 3

The ____________________ minimizes the sum of the squared discrepancies between the predicted and observed Y scores.

Accepted Answer

least squares criterion

Question 4

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

Accepted Answer

A) opposite signs 
B) all negative signs 
C) only positive signs 
D) the same positive or negative signs 
A) opposite signs 
B) all negative signs 
C) only positive signs 
D) the same positive or negative signs

Question 5

Refer to the following data set.
 
The standard error of estimate is _______.

Accepted Answer

A) 1.00 
B) 0.00 
C) insufficient data 
D) 1% 
A) 1.00 
B) 0.00 
C) insufficient data 
D) 1%

Question 6

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

Accepted Answer

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

Question 7

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

Accepted Answer

A) True 
 B)False

Question 8

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 9

The largest correlation coefficient that can be observed under any circumstance is _____.

Accepted Answer

A) 100% 
B) $\pm$1.00 
C) +1.00 
D) unlimited 
A) 100% 
B) $\pm$1.00 
C) +1.00 
D) unlimited

Question 10

The extent of _____ between two variables is indexed by a statistic known as the Pearson correlation coefficient.

Accepted Answer

A) linear approximation 
B) nonlinear approximation 
C) linear specification 
D) nonlinear specification 
A) linear approximation 
B) nonlinear approximation 
C) linear specification 
D) nonlinear specification

Question 11

The standard error of estimate is an indication of

Accepted Answer

A) the average deviation from the mean of the regression line 
B) the average amount of error in calculating a z score for an individual 
C) the average error resulting from predicting Y values from X scores using a regression equation. 
D) the average sum of the differences between actual Y scores and predicted Y scores for a set of scores. 
A) the average deviation from the mean of the regression line 
B) the average amount of error in calculating a z score for an individual 
C) the average error resulting from predicting Y values from X scores using a regression equation. 
D) the average sum of the differences between actual Y scores and predicted Y scores for a set of scores.

Question 12

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 13

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 14

When standard scores are used to calculate the regression equation,the intercept will always equal _____ and the slope will always equal _____.

Accepted Answer

A) 1.0;the correlation coefficient 
B) 0;the correlation coefficient 
C) 1.0;0 
D) 0;1.0 
A) 1.0;the correlation coefficient 
B) 0;the correlation coefficient 
C) 1.0;0 
D) 0;1.0

Question 15

The fact that there is a positive relationship between the murder rate and ice cream consumption can be explained by the fact that both of these increase during hot weather.This is an example of a _____.

Accepted Answer

A) spurious relationship between the murder rate and ice cream consumption 
B) spurious relationship between hot weather and ice cream consumption 
C) nonlinear relationship between the murder rate and ice cream consumption 
D) nonlinear relationship between hot weather and ice cream consumption 
A) spurious relationship between the murder rate and ice cream consumption 
B) spurious relationship between hot weather and ice cream consumption 
C) nonlinear relationship between the murder rate and ice cream consumption 
D) nonlinear relationship between hot weather and ice cream consumption

Question 16

The regression equation for predicting X from Y is the same as the regression equation for predicting Y from X.

Accepted Answer

A) True 
 B)False

Question 17

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 18

When a correlation is perfect and positive,which of the following holds true?

Accepted Answer

A) r=1.00 
B) r=.00 
C) r=-1.00 
D) both a and b 
A) r=1.00 
B) r=.00 
C) r=-1.00 
D) both a and b

Question 19

A correlation of .50 always represents a large correlation.

Accepted Answer

A) True 
 B)False

Question 20

When one finds that there is a strong correlation between X and Y it is possible that.....

Accepted Answer

A) changes in X cause changes is Y. 
B) changes in Y cause changes is X. 
C) changes in X and Y are due to another variable. 
D) all of these 
A) changes in X cause changes is Y. 
B) changes in Y cause changes is X. 
C) changes in X and Y are due to another variable. 
D) all of these

A sum of squares indicates the extent to which two sets of scores vary from one another,or covary.

The point at which a line intersects the Y axis when X = 1.0 is called the intercept.

The ____________________ minimizes the sum of the squared discrepancies between the predicted and observed Y scores.

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

Refer to the following data set. The standard error of estimate is _______.

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

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

The magnitude of the correlation coefficient indicates

The largest correlation coefficient that can be observed under any circumstance is _____.

The extent of _____ between two variables is indexed by a statistic known as the Pearson correlation coefficient.

The standard error of estimate is an indication of

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

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

When standard scores are used to calculate the regression equation,the intercept will always equal _ and the slope will always equal _.

The fact that there is a positive relationship between the murder rate and ice cream consumption can be explained by the fact that both of these increase during hot weather.This is an example of a _____.

The regression equation for predicting X from Y is the same 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.

When a correlation is perfect and positive,which of the following holds true?

A correlation of .50 always represents a large correlation.

When one finds that there is a strong correlation between X and Y it is possible that.....

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

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

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

A sum of squares indicates the extent to which two sets of scores vary from one another,or covary.

The point at which a line intersects the Y axis when X = 1.0 is called the intercept.

The ____________________ minimizes the sum of the squared discrepancies between the predicted and observed Y scores.

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

Refer to the following data set. The standard error of estimate is _______.

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

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

The magnitude of the correlation coefficient indicates

The largest correlation coefficient that can be observed under any circumstance is _____.

The extent of _____ between two variables is indexed by a statistic known as the Pearson correlation coefficient.

The standard error of estimate is an indication of

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

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

When standard scores are used to calculate the regression equation,the intercept will always equal _____ and the slope will always equal _____.

The fact that there is a positive relationship between the murder rate and ice cream consumption can be explained by the fact that both of these increase during hot weather.This is an example of a _____.

The regression equation for predicting X from Y is the same 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.

When a correlation is perfect and positive,which of the following holds true?

A correlation of .50 always represents a large correlation.

When one finds that there is a strong correlation between X and Y it is possible that.....

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Measures of Central Tendency and Variability

Percentiles,percentile Ranks,standard Scores,and the Normal Distribution

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

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

When standard scores are used to calculate the regression equation,the intercept will always equal _ and the slope will always equal _.