Question 1

The "left-over" or remaining variation attributed to error in an analysis of regression is called residual variation.

Accepted Answer

A) True 
 B)False

Question 2

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

Accepted Answer

A)    
B) 0.48 
C) 12.03 
D) The slope is not given in this equation. 
A)    
B) 0.48 
C) 12.03 
D) The slope is not given in this equation.

Question 3

A researcher computes an analysis of regression in which   = 0.82.What is the value of   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

For a simple linear regression with one predictor variable,we report the test statistic,degrees of freedom,and p value for the regression analysis.

Accepted Answer

A) True 
 B)False

Question 5

The larger the standard error of estimate,the more accurately known values of X will predict values of Y.

Accepted Answer

A) True 
 B)False

Question 6

If the mean square residual equals 0.93,then the standard error of estimate equals 0.87.

Accepted Answer

A) True 
 B)False

Question 7

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 8

In a sample of 22 participants,suppose we conduct an analysis of regression with one predictor variable.If   = 4.07,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.

Question 9

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 10

The regression equation measures

Accepted Answer

A) how far the sample mean deviates from the population mean 
B) how far each data point deviates from the line that most closely fits the data 
C) how significant mean differences are between groups 
D) how often scores regress from deviations in the data 
A) how far the sample mean deviates from the population mean 
B) how far each data point deviates from the line that most closely fits the data 
C) how significant mean differences are between groups 
D) how often scores regress from deviations in the data

Question 11

The degrees of freedom residual is equal to the number of criterion variables.

Accepted Answer

A) True 
 B)False

Question 12

Both sources of variation in an analysis of regression measure the variability in

Accepted Answer

A) X and Y 
B) X only 
C) Y only 
A) X and Y 
B) X only 
C) Y only

Question 13

To summarize any type of regression analysis using APA format,we report each of the following except the,

Accepted Answer

A) test statistic 
B) degrees of freedom 
C) p value 
D) critical values 
A) test statistic 
B) degrees of freedom 
C) p value 
D) critical values

Question 14

If the coefficient of determination is 0.32 and   = 150,then what is the sum of squares residual for an analysis of regression?

Accepted Answer

A) 48 
B) 102 
C) 150 
D) There is not enough information to answer this question. 
A) 48 
B) 102 
C) 150 
D) There is not enough information to answer this question.

Question 15

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

Accepted Answer

A) True 
 B)False

Question 16

A researcher computes the following analysis of regression table.Based on the data given,what is the value of the standard error of estimate? (Note: Complete the table first. )

Accepted Answer

A) 2.24 
B) 5.00 
C) 5.74 
D) 8.49 
A) 2.24 
B) 5.00 
C) 5.74 
D) 8.49

Question 17

The more that the variability in ____ is associated with regression variation,the more likely it is that X predicts Y.

Accepted Answer

A) XY 
B) X 
C) Y 
D) all of the above 
A) XY 
B) X 
C) Y 
D) all of the above

Question 18

Which of the following is a step to evaluate the significance for the relative contribution of each factor:

Accepted Answer

A) Find r2 for the "other" predictor variable 
B) Complete the F table and make a decision 
C) Identify SS accounted for by the predictor variable of interest 
D) All of the above 
A) Find r2 for the "other" predictor variable 
B) Complete the F table and make a decision 
C) Identify SS accounted for by the predictor variable of interest 
D) All of the above

Question 19

When most of the variability in Y is attributed to regression variation,it is more likely that X predicts Y.

Accepted Answer

A) True 
 B)False

Question 20

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

Accepted Answer

A) True 
 B)False

The "left-over" or remaining variation attributed to error in an analysis of regression is called residual variation.

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

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

For a simple linear regression with one predictor variable,we report the test statistic,degrees of freedom,and p value for the regression analysis.

The larger the standard error of estimate,the more accurately known values of X will predict values of Y.

If the mean square residual equals 0.93,then the standard error of estimate equals 0.87.

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

In a sample of 22 participants,suppose we conduct an analysis of regression with one predictor variable.If = 4.07,then what is the decision for this test at a .05 level of significance?

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?

The regression equation measures

The degrees of freedom residual is equal to the number of criterion variables.

Both sources of variation in an analysis of regression measure the variability in

To summarize any type of regression analysis using APA format,we report each of the following except the,

If the coefficient of determination is 0.32 and = 150,then what is the sum of squares residual for an analysis of regression?

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

A researcher computes the following analysis of regression table.Based on the data given,what is the value of the standard error of estimate? (Note: Complete the table first. )

The more that the variability in ____ is associated with regression variation,the more likely it is that X predicts Y.

Which of the following is a step to evaluate the significance for the relative contribution of each factor:

When most of the variability in Y is attributed to regression variation,it is more likely that X predicts Y.

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

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

The "left-over" or remaining variation attributed to error in an analysis of regression is called residual variation.

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

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

For a simple linear regression with one predictor variable,we report the test statistic,degrees of freedom,and p value for the regression analysis.

The larger the standard error of estimate,the more accurately known values of X will predict values of Y.

If the mean square residual equals 0.93,then the standard error of estimate equals 0.87.

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

In a sample of 22 participants,suppose we conduct an analysis of regression with one predictor variable.If = 4.07,then what is the decision for this test at a .05 level of significance?

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?

The regression equation measures

The degrees of freedom residual is equal to the number of criterion variables.

Both sources of variation in an analysis of regression measure the variability in

To summarize any type of regression analysis using APA format,we report each of the following except the,

If the coefficient of determination is 0.32 and = 150,then what is the sum of squares residual for an analysis of regression?

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

A researcher computes the following analysis of regression table.Based on the data given,what is the value of the standard error of estimate? (Note: Complete the table first. )

The more that the variability in ____ is associated with regression variation,the more likely it is that X predicts Y.

Which of the following is a step to evaluate the significance for the relative contribution of each factor:

When most of the variability in Y is attributed to regression variation,it is more likely that X predicts Y.

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

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