Question 1

A standardized regression equation is stated as: Zy = (.46)Z1 + (.47)Z1.Which conclusion is most consistent with this formula?

Accepted Answer

A) Z is caused by both X and Y. 
B) The independents have equally strong relationships with the dependent. 
C) This is a spurious relationship. 
D) There is a direct relationship between X and Y after controlling for the effects of Z. 
A) Z is caused by both X and Y. 
B) The independents have equally strong relationships with the dependent. 
C) This is a spurious relationship. 
D) There is a direct relationship between X and Y after controlling for the effects of Z. B

Question 2

With two independent variables,the least-squares multiple regression equation would be

Accepted Answer

A) Y = a + bX2. 
B) Y = a + b + X1 + X2. 
C) Y = b1X1 + b2X2. 
D) Y = a + b1X1 + b2X2. 
A) Y = a + bX2. 
B) Y = a + b + X1 + X2. 
C) Y = b1X1 + b2X2. 
D) Y = a + b1X1 + b2X2. D

Question 3

After scores have been standardized,the value of a (the Y-intercept)will always be

Accepted Answer

A) 1. 
B) 0. 
C) b1 - b2. 
D) R2. 
A) 1. 
B) 0. 
C) b1 - b2. 
D) R2. B

Question 4

One advantage of the technique of multiple regression is that it allows the ____ effects of the ____ variables to be investigated.

Accepted Answer

A) combined,independent 
B) separate,independent 
C) combined,control 
D) separate,dependent 
A) combined,independent 
B) separate,independent 
C) combined,control 
D) separate,dependent

Question 5

After controlling for Z,a researcher finds evidence of a direct relationship between X and Y.What step should be taken next?

Accepted Answer

A) Z should become the new independent variable. 
B) Z should become the new dependent variable. 
C) Z should be disregarded and a new control variable should be selected. 
D) Z should be disregarded and a new independent variable should be selecteD. 
A) Z should become the new independent variable. 
B) Z should become the new dependent variable. 
C) Z should be disregarded and a new control variable should be selected. 
D) Z should be disregarded and a new independent variable should be selecteD.

Question 6

The techniques of multiple correlation and regression can be used

Accepted Answer

A) as long as the total number of variables is not greater than three. 
B) as long as the independents are strongly correlated with each other. 
C) as long as each independent is linearly related with the dependent variable. 
D) as long as sample size is less than 100. 
A) as long as the total number of variables is not greater than three. 
B) as long as the independents are strongly correlated with each other. 
C) as long as each independent is linearly related with the dependent variable. 
D) as long as sample size is less than 100.

Question 7

After controlling for Z,the partial correlation coefficient is .78.The bivariate Pearson's r between X and Y was only .51.Which interpretation is consistent with these results?

Accepted Answer

A) None,these results are mathematically impossible. 
B) There is a spurious relationship between X and Y. 
C) X and Z are both caused by Y. 
D) X and Z are separate,uncorrelated causes of Y. 
A) None,these results are mathematically impossible. 
B) There is a spurious relationship between X and Y. 
C) X and Z are both caused by Y. 
D) X and Z are separate,uncorrelated causes of Y.

Question 8

Partial correlation is analogous to

Accepted Answer

A) elaborating bivariate tables. 
B) finding the regression equation. 
C) computing chi square. 
D) controlling for the dependent variable. 
A) elaborating bivariate tables. 
B) finding the regression equation. 
C) computing chi square. 
D) controlling for the dependent variable.

Question 9

Standardized partial slopes are also called

Accepted Answer

A) alpha levels. 
B) gammas. 
C) Z scores. 
D) beta weights. 
A) alpha levels. 
B) gammas. 
C) Z scores. 
D) beta weights.

Question 10

Which of the following would be consistent with a spurious relationship between X and Y?

Accepted Answer

A) Pearson's r is .37,partial correlation coefficient is .36 
B) Pearson's r is .78,partial correlation coefficient is .30 
C) Pearson's r is -.10,partial correlation coefficient is -.15 
D) Pearson's r is .00,partial correlation coefficient is .00 
A) Pearson's r is .37,partial correlation coefficient is .36 
B) Pearson's r is .78,partial correlation coefficient is .30 
C) Pearson's r is -.10,partial correlation coefficient is -.15 
D) Pearson's r is .00,partial correlation coefficient is .00

Question 11

Which of the following is not a prerequisite for the use of the techniques of multiple regression and correlation

Accepted Answer

A) interval-ratio level of measurement. 
B) linear relationships. 
C) no interaction among the variables. 
D) partial slopes less than zero. 
A) interval-ratio level of measurement. 
B) linear relationships. 
C) no interaction among the variables. 
D) partial slopes less than zero.

Question 12

After controlling for Z,a researcher finds evidence of a spurious relationship between X and Y.What step should be taken next?

Accepted Answer

A) Z should become the new independent variable. 
B) Z should become the new dependent variable. 
C) Z should be disregarded and a new control variable should be selected. 
D) Z should be disregarded and a new independent variable should be selecteD. 
A) Z should become the new independent variable. 
B) Z should become the new dependent variable. 
C) Z should be disregarded and a new control variable should be selected. 
D) Z should be disregarded and a new independent variable should be selecteD.

Question 13

After controlling for Z,the partial correlation coefficient is .78.The bivariate Pearson's r between X and Y was only .51.What should the researcher do next?

Accepted Answer

A) Use multiple regression techniques to investigate this relationship further. 
B) Halt the investigation since these results are mathematically impossible. 
C) Conclude that the relationship between Z and Y is direct. 
D) Conclude that the relationship between Z and Y is spurious. 
A) Use multiple regression techniques to investigate this relationship further. 
B) Halt the investigation since these results are mathematically impossible. 
C) Conclude that the relationship between Z and Y is direct. 
D) Conclude that the relationship between Z and Y is spurious.

Question 14

Standardized partial slopes can be computed by

Accepted Answer

A) converting all scores to Z scores. 
B) converting all scores to percentages. 
C) converting the partial slopes to Z scores. 
D) taking a percentage of the partial slopes. 
A) converting all scores to Z scores. 
B) converting all scores to percentages. 
C) converting the partial slopes to Z scores. 
D) taking a percentage of the partial slopes.

Question 15

The coefficient of multiple determination (R2)shows

Accepted Answer

A) the effect of the control variable after removing the independent from the equation. 
B) essentially the same thing as a partial gamma. 
C) the combined effects of all independents on the dependent. 
D) the zero-order relationships after controlling for the independents. 
A) the effect of the control variable after removing the independent from the equation. 
B) essentially the same thing as a partial gamma. 
C) the combined effects of all independents on the dependent. 
D) the zero-order relationships after controlling for the independents.

Question 16

In regression analysis,the standardized partial slopes are symbolized as

Accepted Answer

A) b* 
B) B 
C) b# 
D) r* 
A) b* 
B) B 
C) b# 
D) r*

Question 17

Which of the following would be consistent with a causal model in which X and Z had independent and uncorrelated causal effects on Y?

Accepted Answer

A) Pearson's r is .37,partial correlation coefficient is .36 
B) Pearson's r is .30,partial correlation coefficient is .50 
C) Pearson's r is -.10,partial correlation coefficient is -.01 
D) Pearson's r is -.41 partial correlation coefficient is .00 
A) Pearson's r is .37,partial correlation coefficient is .36 
B) Pearson's r is .30,partial correlation coefficient is .50 
C) Pearson's r is -.10,partial correlation coefficient is -.01 
D) Pearson's r is -.41 partial correlation coefficient is .00

Question 18

The regression equation for a particular relationship is Y = 10 + (.78)X1 + (-.54)X2.Which conclusion is consistent with this equation?

Accepted Answer

A) The Y intercept is zero. 
B) Neither independent variable has an important relationship with Y. 
C) A value for a (the Y intercept)needs to be calculated before the equation can be interpreted. 
D) The two independent variables have opposite effects on the dependent. 
A) The Y intercept is zero. 
B) Neither independent variable has an important relationship with Y. 
C) A value for a (the Y intercept)needs to be calculated before the equation can be interpreted. 
D) The two independent variables have opposite effects on the dependent.

Question 19

If the beta-weight of the first independent (X1)is .45 and the beta-weight of the second independent (X2)is -.50,then

Accepted Answer

A) X1 has a stronger direct effect than X2. 
B) X2 has a stronger direct effect than X1. 
C) Y2 must equal zero. 
D) the multiple correlation coefficient must be negative. 
A) X1 has a stronger direct effect than X2. 
B) X2 has a stronger direct effect than X1. 
C) Y2 must equal zero. 
D) the multiple correlation coefficient must be negative.

Question 20

Partial and multiple correlation require data which are

Accepted Answer

A) nominal and continuous. 
B) ordinal and discrete. 
C) inferential and bivariate. 
D) interval-ratio. 
A) nominal and continuous. 
B) ordinal and discrete. 
C) inferential and bivariate. 
D) interval-ratio.

A standardized regression equation is stated as: Zy = (.46)Z₁ + (.47)Z₁.Which conclusion is most consistent with this formula?

With two independent variables,the least-squares multiple regression equation would be

After scores have been standardized,the value of a (the Y-intercept)will always be

One advantage of the technique of multiple regression is that it allows the effects of the variables to be investigated.

After controlling for Z,a researcher finds evidence of a direct relationship between X and Y.What step should be taken next?

The techniques of multiple correlation and regression can be used

After controlling for Z,the partial correlation coefficient is .78.The bivariate Pearson's r between X and Y was only .51.Which interpretation is consistent with these results?

Partial correlation is analogous to

Standardized partial slopes are also called

Which of the following would be consistent with a spurious relationship between X and Y?

Which of the following is not a prerequisite for the use of the techniques of multiple regression and correlation

After controlling for Z,a researcher finds evidence of a spurious relationship between X and Y.What step should be taken next?

After controlling for Z,the partial correlation coefficient is .78.The bivariate Pearson's r between X and Y was only .51.What should the researcher do next?

Standardized partial slopes can be computed by

The coefficient of multiple determination (R²)shows

In regression analysis,the standardized partial slopes are symbolized as

Which of the following would be consistent with a causal model in which X and Z had independent and uncorrelated causal effects on Y?

The regression equation for a particular relationship is Y = 10 + (.78)X₁ + (-.54)X₂.Which conclusion is consistent with this equation?

If the beta-weight of the first independent (X₁)is .45 and the beta-weight of the second independent (X₂)is -.50,then

Partial and multiple correlation require data which are

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Estimation Procedures

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Bivariate Association: Introduction and Basic Concepts

Association Between Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Elaborating Bivariate Tables

Filters

Exam 17: Partial Correlation and Multiple Regression and Correlation

A standardized regression equation is stated as: Zy = (.46)Z1 + (.47)Z1.Which conclusion is most consistent with this formula?

With two independent variables,the least-squares multiple regression equation would be

After scores have been standardized,the value of a (the Y-intercept)will always be

One advantage of the technique of multiple regression is that it allows the ____ effects of the ____ variables to be investigated.

After controlling for Z,a researcher finds evidence of a direct relationship between X and Y.What step should be taken next?

The techniques of multiple correlation and regression can be used

After controlling for Z,the partial correlation coefficient is .78.The bivariate Pearson's r between X and Y was only .51.Which interpretation is consistent with these results?

Partial correlation is analogous to

Standardized partial slopes are also called

Which of the following would be consistent with a spurious relationship between X and Y?

Which of the following is not a prerequisite for the use of the techniques of multiple regression and correlation

After controlling for Z,a researcher finds evidence of a spurious relationship between X and Y.What step should be taken next?

After controlling for Z,the partial correlation coefficient is .78.The bivariate Pearson's r between X and Y was only .51.What should the researcher do next?

Standardized partial slopes can be computed by

The coefficient of multiple determination (R2)shows

In regression analysis,the standardized partial slopes are symbolized as

Which of the following would be consistent with a causal model in which X and Z had independent and uncorrelated causal effects on Y?

The regression equation for a particular relationship is Y = 10 + (.78)X1 + (-.54)X2.Which conclusion is consistent with this equation?

If the beta-weight of the first independent (X1)is .45 and the beta-weight of the second independent (X2)is -.50,then

Partial and multiple correlation require data which are

Introduction

Basic Descriptive Statistics: Percentages, Ratios and Rates, Tables, Charts and Graphs

Measures of Central Tendency

Measures of Dispersion

The Normal Curve

Introduction to Inferential Statistics: Sampling and the Sampling Distribution

Estimation Procedures

Hypothesis Testing I: the One-Sample Case

Hypothesis Testing II: the Two-Sample Case

Hypothesis Testing III: the Analysis of Variance

Hypothesis Testing Iv: Chi Square

Bivariate Association: Introduction and Basic Concepts

Association Between Variables Measured at the Nominal Level

Association Between Variables Measured at the Ordinal Level

Association Between Variables Measured at the Interval-Ratio Level

Elaborating Bivariate Tables

Filters

A standardized regression equation is stated as: Zy = (.46)Z₁ + (.47)Z₁.Which conclusion is most consistent with this formula?

One advantage of the technique of multiple regression is that it allows the effects of the variables to be investigated.

The coefficient of multiple determination (R²)shows

The regression equation for a particular relationship is Y = 10 + (.78)X₁ + (-.54)X₂.Which conclusion is consistent with this equation?

If the beta-weight of the first independent (X₁)is .45 and the beta-weight of the second independent (X₂)is -.50,then