Question 1

Which of the following is not needed to compute the slope using the method of least squares?

Accepted Answer

A)  SSY 
B)  SSX 
C)  SSXY 
A)  SSY 
B)  SSX 
C)  SSXY

Question 2

If the coefficient of determination is .12 and SSY = 225,then what is the sum of squares regression for an analysis of regression?

Accepted Answer

A)  27 
B)  198 
C)  225 
D)  There is not enough information to answer this question. 
A)  27 
B)  198 
C)  225 
D)  There is not enough information to answer this question.

Question 3

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 4

Including two or more predictor variables into a single equation of a regression line can be more informative than an analysis using only one predictor variable.

Accepted Answer

A) True 
 B)False

Question 5

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) $ \hat{Y} $ 
B)  0.48 
C)  12.03 
D)  the slope is not given in this equation 
A) $ \hat{Y} $ 
B)  0.48 
C)  12.03 
D)  the slope is not given in this equation

Question 6

Using an analysis of regression,the variability in Y that is predicted by X is measured by the ______.

Accepted Answer

A)  regression variation 
B)  residual variation 
C)  correlation coefficient 
D)  coefficient of determination 
A)  regression variation 
B)  residual variation 
C)  correlation coefficient 
D)  coefficient of determination

Question 7

The equation for a straight line is Y = bX + a.

Accepted Answer

A) True 
 B)False

Question 8

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

Question 9

The standard error of estimate is used as a measure of the ______ in predictions using the equation of a regression line.

Accepted Answer

A)  linearity 
B)  appropriateness 
C)  accuracy 
D)  certainty 
A)  linearity 
B)  appropriateness 
C)  accuracy 
D)  certainty

Question 10

Which of the following equations is appropriate for a linear regression with three predictor variables?

Accepted Answer

A)  = bX + a 
B)  = b1X1 + b2X2 + a 
C)  = b1X1 + b2X2 + b3X3 + a 
D)  = b1X1 + b2X2 + b3X3 + b4X4 + a 
A)  = bX + a 
B)  = b1X1 + b2X2 + a 
C)  = b1X1 + b2X2 + b3X3 + a 
D)  = b1X1 + b2X2 + b3X3 + b4X4 + a

Question 11

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

Question 12

For linear regression with one predictor variable,$\beta$ will equal r.

Accepted Answer

A) True 
 B)False

Question 13

To compute the standard error of estimate,we take the square root of the mean square residual.

Accepted Answer

A) True 
 B)False

Question 14

The numerator of the formula for the slope (b)of a regression line is equal to the sum of products.

Accepted Answer

A) True 
 B)False

Question 15

The degrees of freedom associated with residual 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 16

If SSXY = -16.32 and SSX = 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 SSY 
A)  -0.41 
B)  -2.45 
C)  positive 
D)  there is not enough information; you would also need to know the value of SSY

Question 17

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 18

A researcher computes an analysis of regression with 1 and 25 degrees of freedom.If F = 5.34,then the decision will be that X is a significant predictor of variation in Y.

Accepted Answer

A) True 
 B)False

Question 19

A researcher measures the extent to which years of marriage predict perceptions of forgiveness.Which factor is the criterion variable in this example?

Accepted Answer

A)  years of marriage 
B)  perceptions of forgiveness 
C)  both years of marriage and perceptions of forgiveness 
D)  none of these 
A)  years of marriage 
B)  perceptions of forgiveness 
C)  both years of marriage and perceptions of forgiveness 
D)  none of these

Question 20

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

Which of the following is not needed to compute the slope using the method of least squares?

If the coefficient of determination is .12 and SS_Y = 225,then what is the sum of squares regression for an analysis of regression?

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

Including two or more predictor variables into a single equation of a regression line can be more informative than an analysis using only one predictor variable.

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

Using an analysis of regression,the variability in Y that is predicted by X is measured by the ______.

The equation for a straight line is Y = bX + a.

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

The standard error of estimate is used as a measure of the ______ in predictions using the equation of a regression line.

Which of the following equations is appropriate for a linear regression with three predictor variables?

Linear regression describes the extent to which predicts .

For linear regression with one predictor variable, $\beta$ will equal r.

To compute the standard error of estimate,we take the square root of the mean square residual.

The numerator of the formula for the slope (b)of a regression line is equal to the sum of products.

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

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

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.)

A researcher computes an analysis of regression with 1 and 25 degrees of freedom.If F = 5.34,then the decision will be that X is a significant predictor of variation in Y.

A researcher measures the extent to which years of marriage predict perceptions of forgiveness.Which factor is the criterion variable in this example?

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

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

Which of the following is not needed to compute the slope using the method of least squares?

If the coefficient of determination is .12 and SSY = 225,then what is the sum of squares regression for an analysis of regression?

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

Including two or more predictor variables into a single equation of a regression line can be more informative than an analysis using only one predictor variable.

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

Using an analysis of regression,the variability in Y that is predicted by X is measured by the ______.

The equation for a straight line is Y = bX + a.

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

The standard error of estimate is used as a measure of the ______ in predictions using the equation of a regression line.

Which of the following equations is appropriate for a linear regression with three predictor variables?

Linear regression describes the extent to which ______ predicts ______.

For linear regression with one predictor variable, β\betaβ will equal r.

To compute the standard error of estimate,we take the square root of the mean square residual.

The numerator of the formula for the slope (b)of a regression line is equal to the sum of products.

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

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

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.)

A researcher computes an analysis of regression with 1 and 25 degrees of freedom.If F = 5.34,then the decision will be that X is a significant predictor of variation in Y.

A researcher measures the extent to which years of marriage predict perceptions of forgiveness.Which factor is the criterion variable in this example?

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

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

If the coefficient of determination is .12 and SS_Y = 225,then what is the sum of squares regression for an analysis of regression?

Linear regression describes the extent to which predicts .

For linear regression with one predictor variable, $\beta$ will equal r.

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