Question 1

Before deciding which correlation test to run, which two assumptions need to be checked?

Accepted Answer

A)  Linearity 
B)  Normality 
C)  Effect size 
D)  z-score 
A)  Linearity 
B)  Normality 
C)  Effect size 
D)  z-score A,B

Question 2

Prior to performing a correlation test, what procedure should be performed?

Accepted Answer

A)  Inspect a scatterplot of the data. 
B)  Perform a regression analysis. 
C)  Analyse to data using an independent t-test. 
D)  Inspect a histogram of the data. 
A)  Inspect a scatterplot of the data. 
B)  Perform a regression analysis. 
C)  Analyse to data using an independent t-test. 
D)  Inspect a histogram of the data. A

Question 3

If the relationship between gender and muscular strength was r = .42, how much variability could be accounted for between the two variables?

Accepted Answer

A)  .18 
B)  .14 
C)  .12 
D)  .10 
A)  .18 
B)  .14 
C)  .12 
D)  .10 A

Question 4

When researching the effects of heart rate on pistol shooting, you notice a negative relationship between the two variables. Which of the following options best describes a negative relationship?

Accepted Answer

A)  As the first variable increases, the second decreases. 
B)  The first variable increases with the second variable. 
C)  The first variable decreases with the second variable. 
D)  The relationship has a curvilinear relationship. 
A)  As the first variable increases, the second decreases. 
B)  The first variable increases with the second variable. 
C)  The first variable decreases with the second variable. 
D)  The relationship has a curvilinear relationship.

Question 5

Suppose you wanted to identify the strength of a relationship between the FIFA world ranking of a country's football team and the subsequent performance in the World Cup. What type of correlation test might you run?

Accepted Answer

A)  Pearson's coefficient 
B)  Spearman's rho 
C)  Kendall's tau 
D)  Kolmogorov-Smirnov 
A)  Pearson's coefficient 
B)  Spearman's rho 
C)  Kendall's tau 
D)  Kolmogorov-Smirnov

Question 6

What symbol is used to denote a correlation coefficient?

Accepted Answer

A)  r 
B)  c 
C)  p 
D)  t 
A)  r 
B)  c 
C)  p 
D)  t

Question 7

Muscular strength in men and women is an example of which type of correlation?

Accepted Answer

A)  Biserial correlation 
B)  Point-biserial correlation 
C)  Spearman's rho correlation 
D)  Kendall's tau correlation 
A)  Biserial correlation 
B)  Point-biserial correlation 
C)  Spearman's rho correlation 
D)  Kendall's tau correlation

Question 8

Refer to the 505 agility test data (see below), performed with pads and without pads. Analyse the data using SPSS and report the r-value.

Accepted Answer

A)  +.807 
B)  +.907 
C)  +.707 
D)  +.607 
A)  +.807 
B)  +.907 
C)  +.707 
D)  +.607

Question 9

How would you describe the following variable: qualification versus non-qualification for the Olympic 100 m final?

Accepted Answer

A)  Dichotomous, discrete variable 
B)  Dichotomous, continuous variable 
C)  Dichotomous, random variable 
D)  Dichotomous, proportional variable 
A)  Dichotomous, discrete variable 
B)  Dichotomous, continuous variable 
C)  Dichotomous, random variable 
D)  Dichotomous, proportional variable

Question 10

Which of the following r-values represents the weakest relationship?

Accepted Answer

A)  +.20 
B)  +.92 
C)  -.78 
D)  +.34 
A)  +.20 
B)  +.92 
C)  -.78 
D)  +.34

Question 11

Assuming the appropriate criteria have been met, which correlation test would you run?

Accepted Answer

A)  Pearson's coefficient 
B)  Spearman's rho 
C)  Kendall's tau 
D)  Kolmogorov-Smirnov 
A)  Pearson's coefficient 
B)  Spearman's rho 
C)  Kendall's tau 
D)  Kolmogorov-Smirnov

Question 12

Sports scientists were interested in the effects of anxiety and experience on high board diving performance. All three variables are correlated with each other, but what correlation test could be run if you wanted to find out the degree of 'exclusive' variance anxiety had on diving performance without the interaction of the experience variable?

Accepted Answer

A)  Partial correlation 
B)  Biserial correlation 
C)  Point-biserial correlation 
D)  Semi-partial correlation 
A)  Partial correlation 
B)  Biserial correlation 
C)  Point-biserial correlation 
D)  Semi-partial correlation

Question 13

When discussing the concept of covariance, the distance from a specific observation (i.e. data point) to that of the mean of a given variable is known as

Accepted Answer

A)  Residual 
B)  Effect 
C)  Difference 
D)  Margin 
A)  Residual 
B)  Effect 
C)  Difference 
D)  Margin

Question 14

Looking at the data set below, what is the r-value between participation and total number of medals won?

Accepted Answer

A)  r = +.176 
B)  r = +.227 
C)  r = -.299 
D)  r = +.866 
A)  r = +.176 
B)  r = +.227 
C)  r = -.299 
D)  r = +.866

Question 15

Suppose you were interested in the relationship between body mass and basal metabolic rate and calculated an r value of -.79. How would you account for the variability between the two variables?

Accepted Answer

A)  Square the r-value. 
B)  Take the square root of the r-value. 
C)  Take the log of the r-value. 
D)  Divide the r-value by itself. 
A)  Square the r-value. 
B)  Take the square root of the r-value. 
C)  Take the log of the r-value. 
D)  Divide the r-value by itself.

Question 16

The following data concerns energy expenditure and perceived pain (10-point Likert scale, where 10 = worst possible pain and 0 = no pain at all) from five cyclists completing a stage in the Tour de France. Complete the following table and answer the question below.   Calculate the r-value (by hand) between energy expenditure and pain. You will be required to calculate the covariance first.

Accepted Answer

A)  r = .98 
B)  r = .90 
C)  r = .88 
D)  r = .80 
A)  r = .98 
B)  r = .90 
C)  r = .88 
D)  r = .80

Question 17

Which of the following best describes the variable competition status: competing versus not competing?

Accepted Answer

A)  Dichotomous, discrete variable 
B)  Dichotomous, continuous variable 
C)  Dichotomous, random variable 
D)  Dichotomous, proportional variable 
A)  Dichotomous, discrete variable 
B)  Dichotomous, continuous variable 
C)  Dichotomous, random variable 
D)  Dichotomous, proportional variable

Question 18

If the variability between gender and muscular strength had provided a negative, rather than positive, value, what would this imply?

Accepted Answer

A)  The coding was reversed in SPSS. 
B)  Data have been inputted incorrectly. 
C)  The wrong correlation test was applied. 
D)  None of the answers above would explain the direction of the correlation. 
A)  The coding was reversed in SPSS. 
B)  Data have been inputted incorrectly. 
C)  The wrong correlation test was applied. 
D)  None of the answers above would explain the direction of the correlation.

Question 19

Success or failure in a high jump is an example of which type of correlation?

Accepted Answer

A)  Biserial correlation 
B)  Point-biserial correlation 
C)  Spearman's rho correlation 
D)  Kendall's tau correlation 
A)  Biserial correlation 
B)  Point-biserial correlation 
C)  Spearman's rho correlation 
D)  Kendall's tau correlation

Question 20

When should Kendall's tau be used? Select two answers.

Accepted Answer

A)  Small sample size 
B)  Large number of tied ranks 
C)  Sample size is large 
D)  When no tied ranks are present 
A)  Small sample size 
B)  Large number of tied ranks 
C)  Sample size is large 
D)  When no tied ranks are present

Before deciding which correlation test to run, which two assumptions need to be checked?

Prior to performing a correlation test, what procedure should be performed?

If the relationship between gender and muscular strength was r = .42, how much variability could be accounted for between the two variables?

When researching the effects of heart rate on pistol shooting, you notice a negative relationship between the two variables. Which of the following options best describes a negative relationship?

Suppose you wanted to identify the strength of a relationship between the FIFA world ranking of a country's football team and the subsequent performance in the World Cup. What type of correlation test might you run?

What symbol is used to denote a correlation coefficient?

Muscular strength in men and women is an example of which type of correlation?

Refer to the 505 agility test data (see below), performed with pads and without pads. Analyse the data using SPSS and report the r-value.

How would you describe the following variable: qualification versus non-qualification for the Olympic 100 m final?

Which of the following r-values represents the weakest relationship?

Assuming the appropriate criteria have been met, which correlation test would you run?

When discussing the concept of covariance, the distance from a specific observation (i.e. data point) to that of the mean of a given variable is known as

Looking at the data set below, what is the r-value between participation and total number of medals won?

Suppose you were interested in the relationship between body mass and basal metabolic rate and calculated an r value of -.79. How would you account for the variability between the two variables?

Which of the following best describes the variable competition status: competing versus not competing?

If the variability between gender and muscular strength had provided a negative, rather than positive, value, what would this imply?

Success or failure in a high jump is an example of which type of correlation?

When should Kendall's tau be used? Select two answers.

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Exam 8: Correlation

Before deciding which correlation test to run, which two assumptions need to be checked?

Prior to performing a correlation test, what procedure should be performed?

If the relationship between gender and muscular strength was r = .42, how much variability could be accounted for between the two variables?

When researching the effects of heart rate on pistol shooting, you notice a negative relationship between the two variables. Which of the following options best describes a negative relationship?

Suppose you wanted to identify the strength of a relationship between the FIFA world ranking of a country's football team and the subsequent performance in the World Cup. What type of correlation test might you run?

What symbol is used to denote a correlation coefficient?

Muscular strength in men and women is an example of which type of correlation?

Refer to the 505 agility test data (see below), performed with pads and without pads. Analyse the data using SPSS and report the r-value.

How would you describe the following variable: qualification versus non-qualification for the Olympic 100 m final?

Which of the following r-values represents the weakest relationship?

Assuming the appropriate criteria have been met, which correlation test would you run?

When discussing the concept of covariance, the distance from a specific observation (i.e. data point) to that of the mean of a given variable is known as

Looking at the data set below, what is the r-value between participation and total number of medals won?

Suppose you were interested in the relationship between body mass and basal metabolic rate and calculated an r value of -.79. How would you account for the variability between the two variables?

Which of the following best describes the variable competition status: competing versus not competing?

If the variability between gender and muscular strength had provided a negative, rather than positive, value, what would this imply?

Success or failure in a high jump is an example of which type of correlation?

When should Kendall's tau be used? Select two answers.

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 3: Factorial Designs

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters