Question 1

Which of those below allows us to determine the slope of the regression lines for individual predictors?

Accepted Answer

A) Constant 
B) b weights 
C) Beta weights 
D) Standard error 
A) Constant 
B) b weights 
C) Beta weights 
D) Standard error B

Question 2

Questions relate to the following output which is from a Standard Multiple Regression where the researchers wished to assess the contribution of stress and stigma to depression.
Model Summary
a.Predictors: Constant), total of perceived stress, total of Stigma for neurological conditions
   ANOVAS1U1P1bS1S1P0
   a.Predictors: Constant), total of perceived stress, total of Stigma for neurological conditions
b.Dependent Variable: total of CES-D depression
CoefficientsS1U1P1aS1S1P0
   a.Dependent Variable: total of CES-D depression
-The regression equation is:

Accepted Answer

A) depression = .497stress) + .379stigma) + 5.985 
B) depression = .141stress) + .572stigma) + 5.985 
C) depression = .254stress) + .048stigma) + 5.985 
D) none of the above 
A) depression = .497stress) + .379stigma) + 5.985 
B) depression = .141stress) + .572stigma) + 5.985 
C) depression = .254stress) + .048stigma) + 5.985 
D) none of the above A,B,C

Question 3

Questions relate to the following output which is from a Standard Multiple Regression where the researchers wished to assess the contribution of stress and stigma to depression.
Model Summary
a.Predictors: Constant), total of perceived stress, total of Stigma for neurological conditions
   ANOVAS1U1P1bS1S1P0
   a.Predictors: Constant), total of perceived stress, total of Stigma for neurological conditions
b.Dependent Variable: total of CES-D depression
CoefficientsS1U1P1aS1S1P0
   a.Dependent Variable: total of CES-D depression
-Which of the following is the most appropriate answer?

Accepted Answer

A) The confidence interval for perceived stress encompasses zero, meaning that we cannot be sure whether the true population regression slope is negative, zero, or positive 
B) The confidence interval for perceived stress encompasses zero but as the sample regression slope is .497 and is significant at p=.05, we can be 95% certain that it is positive in the general population 
C) The confidence interval for stigma is such that we cannot be sure whether the true population regression slope is negative, zero, or positive 
D) The contribution of stigma and stress together to depression is non-significant 
A) The confidence interval for perceived stress encompasses zero, meaning that we cannot be sure whether the true population regression slope is negative, zero, or positive 
B) The confidence interval for perceived stress encompasses zero but as the sample regression slope is .497 and is significant at p=.05, we can be 95% certain that it is positive in the general population 
C) The confidence interval for stigma is such that we cannot be sure whether the true population regression slope is negative, zero, or positive 
D) The contribution of stigma and stress together to depression is non-significant A

Question 4

In a multiple regression analysis which of the following allows us to compare the predictor variables on a like-for-like basis?

Accepted Answer

A) Beta β) 
B) The unstandardised b weights 
C) The constant 
D) None of the above 
A) Beta β) 
B) The unstandardised b weights 
C) The constant 
D) None of the above

Question 5

Tabachnick and Fidell 2009) have a formula in order to calculate how many participants are needed to ensure a reliable multiple regression analysis.What is the formula?

Accepted Answer

A) 104 8m where m is the number of criterion variables 
B) 104 8m where m is the number of predictor variables 
C) 110 7m where m is the number of criterion variables 
D) 110 7 m where m is the number of predictor variables 
A) 104 8m where m is the number of criterion variables 
B) 104 8m where m is the number of predictor variables 
C) 110 7m where m is the number of criterion variables 
D) 110 7 m where m is the number of predictor variables

Question 6

Questions relate to the following output which is from a Standard Multiple Regression where the researchers wished to assess the contribution of stress and stigma to depression.
Model Summary
a.Predictors: Constant), total of perceived stress, total of Stigma for neurological conditions
   ANOVAS1U1P1bS1S1P0
   a.Predictors: Constant), total of perceived stress, total of Stigma for neurological conditions
b.Dependent Variable: total of CES-D depression
CoefficientsS1U1P1aS1S1P0
   a.Dependent Variable: total of CES-D depression
-Stress and stigma together predicted depression

Accepted Answer

A) extremely well, accounting for approximately 62% of the variation in depression scores 
B) very poorly, accounting for approximately 9% of the variation in depression scores 
C) well, accounting for approximately 38% of the variation in depression scores 
D) none of the above 
A) extremely well, accounting for approximately 62% of the variation in depression scores 
B) very poorly, accounting for approximately 9% of the variation in depression scores 
C) well, accounting for approximately 38% of the variation in depression scores 
D) none of the above

Question 7

Questions relate to the following output which is from a Standard Multiple Regression where the researchers wished to assess the contribution of stress and stigma to depression.
Model Summary
a.Predictors: Constant), total of perceived stress, total of Stigma for neurological conditions
   ANOVAS1U1P1bS1S1P0
   a.Predictors: Constant), total of perceived stress, total of Stigma for neurological conditions
b.Dependent Variable: total of CES-D depression
CoefficientsS1U1P1aS1S1P0
   a.Dependent Variable: total of CES-D depression
-Which is the most appropriate answer? For every one

Accepted Answer

A) standard deviation increase in stigma, depression increased by over half a standard deviation 
B) unit increase in stigma, depression increased by just under half a standard deviation 
C) standard deviation increase in stress, depression decreased by a quarter of a standard deviation 
D) unit increase in stigma, depression increased by 49% 
A) standard deviation increase in stigma, depression increased by over half a standard deviation 
B) unit increase in stigma, depression increased by just under half a standard deviation 
C) standard deviation increase in stress, depression decreased by a quarter of a standard deviation 
D) unit increase in stigma, depression increased by 49%

Question 8

When you look at the individual results in a standard multiple regression, the results represent

Accepted Answer

A) all of the shared variance between the predictor variables and the criterion 
B) all the shared and unique variance between the predictor variables and the criterion 
C) the unique variance only 
D) the shared variance only 
A) all of the shared variance between the predictor variables and the criterion 
B) all the shared and unique variance between the predictor variables and the criterion 
C) the unique variance only 
D) the shared variance only

Question 9

Assume you have carried out a Standard Multiple Regression in which the Multiple R is found to be high, but none of the predictor variables are, individually, statistically significant.The most likely reason for this is:

Accepted Answer

A) the predictor variables show low correlations amongst themselves 
B) the Multiple R has been incorrectly calculated 
C) the predictor variables are highly correlated with each other 
D) any of the above 
A) the predictor variables show low correlations amongst themselves 
B) the Multiple R has been incorrectly calculated 
C) the predictor variables are highly correlated with each other 
D) any of the above

Question 10

If, for a multiple regression, you have many variables and not enough participants in the analysis, then the statistics will be:

Accepted Answer

A) pessimistic, they may fit the sample very well, but might not generalise to the population 
B) pessimistic, they may not fit the sample very well and they will not generalise to the population 
C) optimistic, they may not fit the sample very well but they will generalise to the population 
D) optimistic, they may fit the sample very well, but might not generalise to the population 
A) pessimistic, they may fit the sample very well, but might not generalise to the population 
B) pessimistic, they may not fit the sample very well and they will not generalise to the population 
C) optimistic, they may not fit the sample very well but they will generalise to the population 
D) optimistic, they may fit the sample very well, but might not generalise to the population

Which of those below allows us to determine the slope of the regression lines for individual predictors?

In a multiple regression analysis which of the following allows us to compare the predictor variables on a like-for-like basis?

Tabachnick and Fidell 2009) have a formula in order to calculate how many participants are needed to ensure a reliable multiple regression analysis.What is the formula?

When you look at the individual results in a standard multiple regression, the results represent

Assume you have carried out a Standard Multiple Regression in which the Multiple R is found to be high, but none of the predictor variables are, individually, statistically significant.The most likely reason for this is:

If, for a multiple regression, you have many variables and not enough participants in the analysis, then the statistics will be:

An Introduction to the Research Process

Descriptive Statistics

The Basis of Statistical Testing

Epidemiology

Introduction to Data Screening and Cleaning

Differences Between Two Groups

Differences Between Three or More Conditions

Testing Associations Between Categorical Variables

Measuring Agreement: Correlational Techniques

Linear Regression

Logistic Regression

Interventions and Analysis of Change

Survival Analysis: an Introduction

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Exam 11: Standard Multiple Regression

Which of those below allows us to determine the slope of the regression lines for individual predictors?

In a multiple regression analysis which of the following allows us to compare the predictor variables on a like-for-like basis?

Tabachnick and Fidell 2009) have a formula in order to calculate how many participants are needed to ensure a reliable multiple regression analysis.What is the formula?

When you look at the individual results in a standard multiple regression, the results represent

Assume you have carried out a Standard Multiple Regression in which the Multiple R is found to be high, but none of the predictor variables are, individually, statistically significant.The most likely reason for this is:

If, for a multiple regression, you have many variables and not enough participants in the analysis, then the statistics will be:

An Introduction to the Research Process

Descriptive Statistics

The Basis of Statistical Testing

Epidemiology

Introduction to Data Screening and Cleaning

Differences Between Two Groups

Differences Between Three or More Conditions

Testing Associations Between Categorical Variables

Measuring Agreement: Correlational Techniques

Linear Regression

Logistic Regression

Interventions and Analysis of Change

Survival Analysis: an Introduction

Filters