Question 1

If the coefficient of determination is 0.25 and the sum of squares residual is 180,then what is the value of   ?

Accepted Answer

A) 60 
B) 180 
C) 240 
D) 800 
A) 60 
B) 180 
C) 240 
D) 800 C

Question 2

The data points for pairs of scores are often summarized in a bar chart.

Accepted Answer

A) True 
 B)False  False

Question 3

In a sample of 28 participants,suppose we conduct an analysis of regression with one predictor variable.If   = 4.28,then what is the decision for this test at a .05 level of significance?

Accepted Answer

A) X significantly predicts Y. 
B) X does not significantly predict Y. 
C) There is not enough information to answer this question. 
A) X significantly predicts Y. 
B) X does not significantly predict Y. 
C) There is not enough information to answer this question. A

Question 4

An estimate of the standard deviation or distance that data points fall from the regression line is measured by the

Accepted Answer

A) sum of squares 
B) standard error of estimate 
C) criterion variable 
D) predictor variable 
A) sum of squares 
B) standard error of estimate 
C) criterion variable 
D) predictor variable

Question 5

The standardized beta coefficient,$\beta$,reflects the distinctive contribution of each criterion variable.

Accepted Answer

A) True 
 B)False

Question 6

Multiple regression is a statistical method that includes ____ predictor variable(s)in the equation of the regression line.

Accepted Answer

A) zero 
B) one 
C) two 
D) two or more 
A) zero 
B) one 
C) two 
D) two or more

Question 7

Linear regression describes the extent to which _______ predicts ________.

Accepted Answer

A) X;Y 
B) the predictor variable;the criterion variable 
C) the known variable;the to-be-predicted variable 
D) all of the above 
A) X;Y 
B) the predictor variable;the criterion variable 
C) the known variable;the to-be-predicted variable 
D) all of the above

Question 8

We do not need to know the value of the slope to compute the value of the y-intercept of a regression line.

Accepted Answer

A) True 
 B)False

Question 9

The scores or data points for a regression analysis are typically reported in,

Accepted Answer

A) a scatter plot 
B) a bar chart 
C) a pie chart 
D) all of the above 
A) a scatter plot 
B) a bar chart 
C) a pie chart 
D) all of the above

Question 10

The degrees of freedom associated with regression variation are equal to

Accepted Answer

A) the number of predictor variables 
B) the number of predictor variables minus one 
C) n ñ 1 
D) n ñ 2 
A) the number of predictor variables 
B) the number of predictor variables minus one 
C) n ñ 1 
D) n ñ 2

Question 11

What is the computation for the standard error of estimate?

Accepted Answer

A) the square root of the mean square regression 
B) the square root of the mean square residual 
C) the mean square regression,squared 
D) the mean square residual,squared 
A) the square root of the mean square regression 
B) the square root of the mean square residual 
C) the mean square regression,squared 
D) the mean square residual,squared

Question 12

For a multiple regression,we typically report which value that is not often reported for a one factor linear regression analysis?

Accepted Answer

A) effect size 
B) $\beta$ coefficient 
C) test statistic 
D) p value 
A) effect size 
B) $\beta$ coefficient 
C) test statistic 
D) p value

Question 13

The value of b1 and b2 are referred to as,

Accepted Answer

A) unstandardized beta coefficients 
B) standardized beta coefficients 
C) regression variation 
D) residual variation 
A) unstandardized beta coefficients 
B) standardized beta coefficients 
C) regression variation 
D) residual variation

Question 14

If   = -16.32 and   = 40.00 for a set of data points,then what is the value of the slope for the best-fitting linear equation?

Accepted Answer

A) -0.41 
B) -2.45 
C) positive 
D) There is not enough information;you would also need to know the value of  
. 
A) -0.41 
B) -2.45 
C) positive 
D) There is not enough information;you would also need to know the value of  
.

Question 15

In addition to evaluating the significance of a multiple regression equation,we also should consider:

Accepted Answer

A) the significance of the residual variability 
B) the complexity of the correlation coefficient 
C) the relative contribution of each factor 
D) the significant of each individual data point 
A) the significance of the residual variability 
B) the complexity of the correlation coefficient 
C) the relative contribution of each factor 
D) the significant of each individual data point

Question 16

One key advantage for including multiple predictor variables in the equation of a regression line is that it allows you to

Accepted Answer

A) detect mean differences between groups for each criterion variable 
B) detect the extent to which two or more predictor variables interact 
C) show cause-and-effect because many predictor variables are added 
D) all of the above 
A) detect mean differences between groups for each criterion variable 
B) detect the extent to which two or more predictor variables interact 
C) show cause-and-effect because many predictor variables are added 
D) all of the above

Question 17

If the coefficient of determination is 0.09 and the sum of squares regression is 88,then the total variation in Y must be    = 108.

Accepted Answer

A) True 
 B)False

Question 18

The regression line is not always the best fitting straight line to a set of data points.

Accepted Answer

A) True 
 B)False

Question 19

The standard error of estimate provides an estimate of the standard distance that data points fall from the regression line.

Accepted Answer

A) True 
 B)False

Question 20

The equation for the standardized regression equation is,

Accepted Answer

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

If the coefficient of determination is 0.25 and the sum of squares residual is 180,then what is the value of ?

The data points for pairs of scores are often summarized in a bar chart.

In a sample of 28 participants,suppose we conduct an analysis of regression with one predictor variable.If = 4.28,then what is the decision for this test at a .05 level of significance?

An estimate of the standard deviation or distance that data points fall from the regression line is measured by the

The standardized beta coefficient, $\beta$ ,reflects the distinctive contribution of each criterion variable.

Multiple regression is a statistical method that includes ____ predictor variable(s)in the equation of the regression line.

Linear regression describes the extent to which _ predicts __.

We do not need to know the value of the slope to compute the value of the y-intercept of a regression line.

The scores or data points for a regression analysis are typically reported in,

The degrees of freedom associated with regression variation are equal to

What is the computation for the standard error of estimate?

For a multiple regression,we typically report which value that is not often reported for a one factor linear regression analysis?

The value of b₁ and b₂ are referred to as,

If = -16.32 and = 40.00 for a set of data points,then what is the value of the slope for the best-fitting linear equation?

In addition to evaluating the significance of a multiple regression equation,we also should consider:

One key advantage for including multiple predictor variables in the equation of a regression line is that it allows you to

If the coefficient of determination is 0.09 and the sum of squares regression is 88,then the total variation in Y must be = 108.

The regression line is not always the best fitting straight line to a set of data points.

The standard error of estimate provides an estimate of the standard distance that data points fall from the regression line.

The equation for the standardized regression equation is,

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability, Normal Distributions, and Z Scores

Probability and Sampling Distributions

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample and Two-Independent Sample T Tests

Testing Means: Related Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated Measures Design

Analysis of Variance: Two-Way Between-Subjects Factorial Design

Correlation

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters

Exam 16: Linear Regression and Multiple Regression

If the coefficient of determination is 0.25 and the sum of squares residual is 180,then what is the value of ?

The data points for pairs of scores are often summarized in a bar chart.

In a sample of 28 participants,suppose we conduct an analysis of regression with one predictor variable.If = 4.28,then what is the decision for this test at a .05 level of significance?

An estimate of the standard deviation or distance that data points fall from the regression line is measured by the

The standardized beta coefficient, β\betaβ ,reflects the distinctive contribution of each criterion variable.

Multiple regression is a statistical method that includes ____ predictor variable(s)in the equation of the regression line.

Linear regression describes the extent to which _______ predicts ________.

We do not need to know the value of the slope to compute the value of the y-intercept of a regression line.

The scores or data points for a regression analysis are typically reported in,

The degrees of freedom associated with regression variation are equal to

What is the computation for the standard error of estimate?

For a multiple regression,we typically report which value that is not often reported for a one factor linear regression analysis?

The value of b1 and b2 are referred to as,

If = -16.32 and = 40.00 for a set of data points,then what is the value of the slope for the best-fitting linear equation?

In addition to evaluating the significance of a multiple regression equation,we also should consider:

One key advantage for including multiple predictor variables in the equation of a regression line is that it allows you to

If the coefficient of determination is 0.09 and the sum of squares regression is 88,then the total variation in Y must be = 108.

The regression line is not always the best fitting straight line to a set of data points.

The standard error of estimate provides an estimate of the standard distance that data points fall from the regression line.

The equation for the standardized regression equation is,

Introduction to Statistics

Summarizing Data: Frequency Distributions in Tables and Graphs

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability

Probability, Normal Distributions, and Z Scores

Probability and Sampling Distributions

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample and Two-Independent Sample T Tests

Testing Means: Related Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated Measures Design

Analysis of Variance: Two-Way Between-Subjects Factorial Design

Correlation

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters

The standardized beta coefficient, $\beta$ ,reflects the distinctive contribution of each criterion variable.

Linear regression describes the extent to which _ predicts __.

The value of b₁ and b₂ are referred to as,