Question 1

In an analysis of regression there are three sources of variation: regression,residual,and error.

Accepted Answer

A) True 
 B)False

Question 2

If the mean square residual equals 0.93,then the standard error of estimate equals 0.39.

Accepted Answer

A) True 
 B)False

Question 3

A researcher computes an analysis of regression in which MSresidual = 0.82.What is the value of se in this example?

Accepted Answer

A)  0.67 
B)  0.82 
C)  0.91 
D)  there is not enough information to answer this question 
A)  0.67 
B)  0.82 
C)  0.91 
D)  there is not enough information to answer this question

Question 4

The predictions made using multiple regression are often more ______ than the predictions made using linear regression with one predictor variable.

Accepted Answer

A)  informative 
B)  convoluted 
C)  confounded 
D)  realistic 
A)  informative 
B)  convoluted 
C)  confounded 
D)  realistic

Question 5

If b = -0.57,MY = 2.75,and MX = 5.25 for a set of data points,then what is the value of the y-intercept for the best-fitting linear equation?

Accepted Answer

A)  0.24 
B)  11.68 
C)  -0.24 
D)  5.74 
A)  0.24 
B)  11.68 
C)  -0.24 
D)  5.74

Question 6

To summarize the results of multiple regression,we typically add the standardized $\beta$ coefficient for each factor that significantly contributes to a prediction.

Accepted Answer

A) True 
 B)False

Question 7

If the coefficient of determination is .30 and the sum of squares regression for an analysis of regression is 210,then what is the value of SSY?

Accepted Answer

A)  210 
B)  300 
C)  490 
D)  700 
A)  210 
B)  300 
C)  490 
D)  700

Question 8

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 9

To standardize the coefficients,we first convert the original data to standardized z scores.

Accepted Answer

A) True 
 B)False

Question 10

A researcher reports the following regression equation for two variables,X and Y: .If X = 2.30,then what is the value of ?

Accepted Answer

A)  10.23 
B)  11.73 
C)  13.23 
A)  10.23 
B)  11.73 
C)  13.23

Question 11

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

Question 12

The predictor variable is a known value that is used to predict the value of another variable.

Accepted Answer

A) True 
 B)False

Question 13

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

Accepted Answer

A) True 
 B)False

Question 14

The method of least squares is used to determine the ______ straight line to a set of data points.

Accepted Answer

A)  best-fitting 
B)  straightest 
C)  most linear 
D)  approximate 
A)  best-fitting 
B)  straightest 
C)  most linear 
D)  approximate

Question 15

The standardized beta coefficient,$\beta$,reflects the distinctive contribution of each criterion variable,including any overlap with other criterion variables.

Accepted Answer

A) True 
 B)False

Question 16

Which of the following is not needed to compute the y-intercept using the method of least squares?

Accepted Answer

A)  MY 
B)  MX 
C)  MXY 
D)  the slope 
A)  MY 
B)  MX 
C)  MXY 
D)  the slope

Question 17

A researcher reports the following equation for a best-fitting straight line to a set of data points: .Which value is the y-intercept?

Accepted Answer

A) $ \hat{Y} $ 
B)  X 
C)  -1.01 
D)  3.24 
A) $ \hat{Y} $ 
B)  X 
C)  -1.01 
D)  3.24

Question 18

A researcher computes the following analysis of regression table.Based on the data given,what is the decision for this test at a .05 level of significance? (Note: Complete the table first.)

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.

Question 19

A researcher measures the extent to which time spent watching educational preschool television programming predicts success in school.Which factor is the criterion variable in this example?

Accepted Answer

A)  educational preschool television 
B)  type of television programming 
C)  success in school 
D)  time spent in school 
A)  educational preschool television 
B)  type of television programming 
C)  success in school 
D)  time spent in school

Question 20

If the coefficient of determination is .25 and the sum of squares residual is 180,then what is the value of SSY?

Accepted Answer

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

In an analysis of regression there are three sources of variation: regression,residual,and error.

If the mean square residual equals 0.93,then the standard error of estimate equals 0.39.

A researcher computes an analysis of regression in which MS_residual = 0.82.What is the value of s_e in this example?

The predictions made using multiple regression are often more ______ than the predictions made using linear regression with one predictor variable.

If b = -0.57,M_Y = 2.75,and M_X = 5.25 for a set of data points,then what is the value of the y-intercept for the best-fitting linear equation?

To summarize the results of multiple regression,we typically add the standardized $\beta$ coefficient for each factor that significantly contributes to a prediction.

If the coefficient of determination is .30 and the sum of squares regression for an analysis of regression is 210,then what is the value of SS_Y?

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

To standardize the coefficients,we first convert the original data to standardized z scores.

A researcher reports the following regression equation for two variables,X and Y: .If X = 2.30,then what is the value of ?

The degrees of freedom associated with regression variation are equal to ______.

The predictor variable is a known value that is used to predict the value of another variable.

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

The method of least squares is used to determine the ______ straight line to a set of data points.

The standardized beta coefficient, $\beta$ ,reflects the distinctive contribution of each criterion variable,including any overlap with other criterion variables.

Which of the following is not needed to compute the y-intercept using the method of least squares?

A researcher reports the following equation for a best-fitting straight line to a set of data points: .Which value is the y-intercept?

A researcher computes the following analysis of regression table.Based on the data given,what is the decision for this test at a .05 level of significance? (Note: Complete the table first.)

A researcher measures the extent to which time spent watching educational preschool television programming predicts success in school.Which factor is the criterion variable in this example?

If the coefficient of determination is .25 and the sum of squares residual is 180,then what is the value of SS_Y?

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: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

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

In an analysis of regression there are three sources of variation: regression,residual,and error.

If the mean square residual equals 0.93,then the standard error of estimate equals 0.39.

A researcher computes an analysis of regression in which MSresidual = 0.82.What is the value of se in this example?

The predictions made using multiple regression are often more ______ than the predictions made using linear regression with one predictor variable.

If b = -0.57,MY = 2.75,and MX = 5.25 for a set of data points,then what is the value of the y-intercept for the best-fitting linear equation?

To summarize the results of multiple regression,we typically add the standardized β\betaβ coefficient for each factor that significantly contributes to a prediction.

If the coefficient of determination is .30 and the sum of squares regression for an analysis of regression is 210,then what is the value of SSY?

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

To standardize the coefficients,we first convert the original data to standardized z scores.

A researcher reports the following regression equation for two variables,X and Y: .If X = 2.30,then what is the value of ?

The degrees of freedom associated with regression variation are equal to ______.

The predictor variable is a known value that is used to predict the value of another variable.

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

The method of least squares is used to determine the ______ straight line to a set of data points.

The standardized beta coefficient, β\betaβ ,reflects the distinctive contribution of each criterion variable,including any overlap with other criterion variables.

Which of the following is not needed to compute the y-intercept using the method of least squares?

A researcher reports the following equation for a best-fitting straight line to a set of data points: .Which value is the y-intercept?

A researcher computes the following analysis of regression table.Based on the data given,what is the decision for this test at a .05 level of significance? (Note: Complete the table first.)

A researcher measures the extent to which time spent watching educational preschool television programming predicts success in school.Which factor is the criterion variable in this example?

If the coefficient of determination is .25 and the sum of squares residual is 180,then what is the value of SSY?

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: Truehe Related-Samples T Test

Estimation and Confidence Intervals

Analysis of Variance: One-Way Between-Subjects Design

Analysis of Variance: One-Way Within-Subjects Repeated-Measuresdesign

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

Correlation

Nonparametric Tests: Chi-Square Tests

Nonparametric Tests: Tests for Ordinal Data

Filters

A researcher computes an analysis of regression in which MS_residual = 0.82.What is the value of s_e in this example?

If b = -0.57,M_Y = 2.75,and M_X = 5.25 for a set of data points,then what is the value of the y-intercept for the best-fitting linear equation?

To summarize the results of multiple regression,we typically add the standardized $\beta$ coefficient for each factor that significantly contributes to a prediction.

If the coefficient of determination is .30 and the sum of squares regression for an analysis of regression is 210,then what is the value of SS_Y?

The standardized beta coefficient, $\beta$ ,reflects the distinctive contribution of each criterion variable,including any overlap with other criterion variables.

If the coefficient of determination is .25 and the sum of squares residual is 180,then what is the value of SS_Y?