Question 1

For the following data,what is the standard error of the estimate?

Accepted Answer

A) 3.71 
B) 5.72 
C) 32.72 
D) 1,070.49 
A) 3.71 
B) 5.72 
C) 32.72 
D) 1,070.49

Question 2

For the following data,what is the proportion of variance accounted for?

Accepted Answer

A) -0.76 
B) 0.58 
C) 0.76 
D) -0.58 
A) -0.76 
B) 0.58 
C) 0.76 
D) -0.58

Question 3

In the following study,researchers wanted to determine if a relationship existed between the minutes of light therapy a patient receives and the patient's reported score on a seasonal affective disorder (SAD)test.What is the standard error of the estimate?

Accepted Answer

A) 2.31 
B) 4.86 
C) 5.34 
D) 1.52 
A) 2.31 
B) 4.86 
C) 5.34 
D) 1.52

Question 4

In general,the greater the proportion of variance accounted for,

Accepted Answer

A) the more error there is in the data. 
B) the less accurately we can predict behavior. 
C) the more accurately we can predict behavior. 
D) the less important the relationship to our ability to make predictions. 
A) the more error there is in the data. 
B) the less accurately we can predict behavior. 
C) the more accurately we can predict behavior. 
D) the less important the relationship to our ability to make predictions.

Question 5

One assumption of linear regression is

Accepted Answer

A) the Y scores at each X form an approximately normal distribution. 
B) the X scores at each Y form an approximately normal distribution. 
C) at each X,both the X and Y score samples should represent an approximately normal distribution. 
D) at each X,approximately 68% of all Y scores should be between   . 
A) the Y scores at each X form an approximately normal distribution. 
B) the X scores at each Y form an approximately normal distribution. 
C) at each X,both the X and Y score samples should represent an approximately normal distribution. 
D) at each X,approximately 68% of all Y scores should be between   .

Question 6

The regression line is the best-fitting line because

Accepted Answer

A) it best takes into account all the X and Y scores. 
B) on average,the regression line passes through the center of the various Y standard deviations. 
C) it is the straightest line that can be created through the Y scores. 
D) on average,the regression line passes through the center of the various Y means. 
A) it best takes into account all the X and Y scores. 
B) on average,the regression line passes through the center of the various Y standard deviations. 
C) it is the straightest line that can be created through the Y scores. 
D) on average,the regression line passes through the center of the various Y means.

Question 7

What is the slope of the following regression equation?   = -8.27X + 3.09

Accepted Answer

A) 8.27 
B) -8.27 
C) 3.09 
D) -3.09 
A) 8.27 
B) -8.27 
C) 3.09 
D) -3.09

Question 8

When r = 1.0,then   equals

Accepted Answer

A) r 
B) 0 
C) 1.0 
D)    
A) r 
B) 0 
C) 1.0 
D)

Question 9

The coefficient of determination is equal to

Accepted Answer

A)    . 
B)    . 
C)    . 
D)    
A)    . 
B)    . 
C)    . 
D)

Question 10

The coefficient of alienation is interpreted as the

Accepted Answer

A) amount of variance determined in all the Y scores. 
B) alienation of variance in all the Y scores. 
C) degree to which the scores are efficient. 
D) proportion of variance not accounted for. 
A) amount of variance determined in all the Y scores. 
B) alienation of variance in all the Y scores. 
C) degree to which the scores are efficient. 
D) proportion of variance not accounted for.

Question 11

When heteroscedasticity exists,the problem with r is that it

Accepted Answer

A) does not accurately describe the predicted Y values. 
B) is very large. 
C) does not accurately describe the strength of the relationship for all Xs. 
D) will equal 0. 
A) does not accurately describe the predicted Y values. 
B) is very large. 
C) does not accurately describe the strength of the relationship for all Xs. 
D) will equal 0.

Question 12

Which of the following formulas represents the slope of the regression line?

Accepted Answer

A)    
B)    
C)    
D)    
A)    
B)    
C)    
D)

For the following data,what is the standard error of the estimate?

For the following data,what is the proportion of variance accounted for?

In the following study,researchers wanted to determine if a relationship existed between the minutes of light therapy a patient receives and the patient's reported score on a seasonal affective disorder (SAD)test.What is the standard error of the estimate?

In general,the greater the proportion of variance accounted for,

One assumption of linear regression is

The regression line is the best-fitting line because

What is the slope of the following regression equation? = -8.27X + 3.09

When r = 1.0,then equals

The coefficient of determination is equal to

The coefficient of alienation is interpreted as the

When heteroscedasticity exists,the problem with r is that it

Which of the following formulas represents the slope of the regression line?

Introduction to Statistics

Statistics and the Research Process

Frequency Distributions and Percentiles

Measures of Central Tendency;the Mean, median, and Mode

Measures of Variability: Range, variance, and Standard Deviation

Z-Scores and the Normal Curve

The Correlation Coefficient

Using Probability to Make Decisions About Data

Introduction to Hypothesis Testing

Performing the One-Sample T-Test and Testing Correlation Coefficients

The Two-Sample T-Test

The One-Way Analysis of Variance

The Two-Way Analysis of Variance

Chi Square and Other Nonparametric Procedures

Filters

Exam 8: Linear Regression

For the following data,what is the standard error of the estimate?

For the following data,what is the proportion of variance accounted for?

In the following study,researchers wanted to determine if a relationship existed between the minutes of light therapy a patient receives and the patient's reported score on a seasonal affective disorder (SAD)test.What is the standard error of the estimate?

In general,the greater the proportion of variance accounted for,

One assumption of linear regression is

The regression line is the best-fitting line because

What is the slope of the following regression equation? = -8.27X + 3.09

When r = 1.0,then equals

The coefficient of determination is equal to

The coefficient of alienation is interpreted as the

When heteroscedasticity exists,the problem with r is that it

Which of the following formulas represents the slope of the regression line?

Introduction to Statistics

Statistics and the Research Process

Frequency Distributions and Percentiles

Measures of Central Tendency;the Mean, median, and Mode

Measures of Variability: Range, variance, and Standard Deviation

Z-Scores and the Normal Curve

The Correlation Coefficient

Using Probability to Make Decisions About Data

Introduction to Hypothesis Testing

Performing the One-Sample T-Test and Testing Correlation Coefficients

The Two-Sample T-Test

The One-Way Analysis of Variance

The Two-Way Analysis of Variance

Chi Square and Other Nonparametric Procedures

Filters