Question 1

Both Pearson r and Spearman rho can range from - 1.00 to +1.00.

Accepted Answer

A) True 
 B)False

Question 2

Define curvilinear relationship.

Accepted Answer

A curvilinear relationship refers to a t

Question 3

Which of the following is(are) correct interpretation(s) of correlation? Correlation _________.

Accepted Answer

A)  indicates the degree of the relationship between two variables 
B)  indicates a causal relationship between two variables 
C)  is useful in deciding which variables to manipulate in an experimental study 
D)  a and b 
E)  a and c 
A)  indicates the degree of the relationship between two variables 
B)  indicates a causal relationship between two variables 
C)  is useful in deciding which variables to manipulate in an experimental study 
D)  a and b 
E)  a and c

Question 4

Which of the following values of r represents the strongest degree of relationship between two variables?

Accepted Answer

A)  0.55 
B)  0.00 
C)  0.78 
D)  - 0.80 
A)  0.55 
B)  0.00 
C)  0.78 
D)  - 0.80

Question 5

A correlation between college entrance exam grades and scholastic achievement was found to be - 1.08. On the basis of this you would tell the university that _________.

Accepted Answer

A)  the entrance exam is a good predictor of success 
B)  they should hire a new statistician 
C)  the exam is a poor predictor of success 
D)  students who do best on this exam will make the worst students 
E)  students are this school are underachieving 
A)  the entrance exam is a good predictor of success 
B)  they should hire a new statistician 
C)  the exam is a poor predictor of success 
D)  students who do best on this exam will make the worst students 
E)  students are this school are underachieving

Question 6

Define imperfect relationship.

Accepted Answer

An imperfect relationship refers to a pa

Question 7

Causation implies correlation.

Accepted Answer

A) True 
 B)False

Question 8

The coefficient of determination equals the proportion of variability accounted for by the relationship between the variables.

Accepted Answer

A) True 
 B)False

Question 9

Define negative relationship.

Accepted Answer

A negative relationship, in the context

Question 10

If the value of rho for a set of ordinal data equaled 0.68, the value of r for the same data would be 0.68.

Accepted Answer

A) True 
 B)False

Question 11

In a negative relationship, _________.

Accepted Answer

A)  as X increases, Y increases 
B)  as X decreases, Y decreases 
C)  as X increases, Y increases, and as X decreases, Y decreases 
D)  as X increases, Y decreases 
A)  as X increases, Y increases 
B)  as X decreases, Y decreases 
C)  as X increases, Y increases, and as X decreases, Y decreases 
D)  as X increases, Y decreases

Question 12

If one takes a sample of pairs of points over a narrow range of X or Y scores, what effect might this have on the value of r ?

Accepted Answer

A)  inflate r 
B)  have no effect on r 
C)  reduce r 
D)  cannot be determined 
A)  inflate r 
B)  have no effect on r 
C)  reduce r 
D)  cannot be determined

Question 13

The coefficient of determination equals   .

Accepted Answer

A) True 
 B)False

Question 14

Define spearman rho.

Accepted Answer

Spearman's rho, also known as Spearman's

Question 15

The proportion of variance accounted for by a correlation between two variables is determined by _________.

Accepted Answer

A)  Y 2 
B)  r 2 
C)  r 
D)  b 
A)  Y 2 
B)  r 2 
C)  r 
D)  b

Question 16

For a linear relationship to exist, all the points must fall on a straight line.

Accepted Answer

A) True 
 B)False

Question 17

A researcher wanted to know if the order in which runners finish a race is correlated with their weight. She conducts an experiment and the data are given below.   What is the appropriate correlation coefficient for these data?

Accepted Answer

A)  r 
B)  rho 
C)  phi 
D)  biserial 
A)  r 
B)  rho 
C)  phi 
D)  biserial

Question 18

Define Scatter plot.

Accepted Answer

A scatter plot, also known as a scatter

Question 19

When two variables are correlated, there are four possible explanations of the relationship. What are they?

Accepted Answer

When two variables are correlated, it me

Question 20

A relationship can be _________.

Accepted Answer

A)  perfect 
B)  imperfect 
C)  nonexistant 
D)  all of these 
A)  perfect 
B)  imperfect 
C)  nonexistant 
D)  all of these

Both Pearson r and Spearman rho can range from - 1.00 to +1.00.

Define curvilinear relationship.

Which of the following is(are) correct interpretation(s) of correlation? Correlation _________.

Which of the following values of r represents the strongest degree of relationship between two variables?

A correlation between college entrance exam grades and scholastic achievement was found to be - 1.08. On the basis of this you would tell the university that _________.

Define imperfect relationship.

Causation implies correlation.

The coefficient of determination equals the proportion of variability accounted for by the relationship between the variables.

Define negative relationship.

If the value of rho for a set of ordinal data equaled 0.68, the value of r for the same data would be 0.68.

In a negative relationship, _________.

If one takes a sample of pairs of points over a narrow range of X or Y scores, what effect might this have on the value of r ?

The coefficient of determination equals .

Define spearman rho.

The proportion of variance accounted for by a correlation between two variables is determined by _________.

For a linear relationship to exist, all the points must fall on a straight line.

A researcher wanted to know if the order in which runners finish a race is correlated with their weight. She conducts an experiment and the data are given below. What is the appropriate correlation coefficient for these data?

Define Scatter plot.

When two variables are correlated, there are four possible explanations of the relationship. What are they?

A relationship can be _________.

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

The Normal Curve and Standard Scores

Linear Regression

Random Sampling and Probability

Binomial Distribution

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Single Samples

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Introduction to the Two-Way Analysis of Variance

Chi-Square and Other Nonparametric Tests

Filters

Exam 6: Correlation

Both Pearson r and Spearman rho can range from - 1.00 to +1.00.

Define curvilinear relationship.

Which of the following is(are) correct interpretation(s) of correlation? Correlation _________.

Which of the following values of r represents the strongest degree of relationship between two variables?

A correlation between college entrance exam grades and scholastic achievement was found to be - 1.08. On the basis of this you would tell the university that _________.

Define imperfect relationship.

Causation implies correlation.

The coefficient of determination equals the proportion of variability accounted for by the relationship between the variables.

Define negative relationship.

If the value of rho for a set of ordinal data equaled 0.68, the value of r for the same data would be 0.68.

In a negative relationship, _________.

If one takes a sample of pairs of points over a narrow range of X or Y scores, what effect might this have on the value of r ?

The coefficient of determination equals .

Define spearman rho.

The proportion of variance accounted for by a correlation between two variables is determined by _________.

For a linear relationship to exist, all the points must fall on a straight line.

A researcher wanted to know if the order in which runners finish a race is correlated with their weight. She conducts an experiment and the data are given below. What is the appropriate correlation coefficient for these data?

Define Scatter plot.

When two variables are correlated, there are four possible explanations of the relationship. What are they?

A relationship can be _________.

Statistics and Scientific Method

Basic Mathematical and Measurement Concepts

Frequency Distributions

Measures of Central Tendency and Variability

The Normal Curve and Standard Scores

Linear Regression

Random Sampling and Probability

Binomial Distribution

Introduction to Hypothesis Testing: Using the Sign Test

Power

Sampling Distributions, Sampling Distribution of the Mean: the Normal Deviate Z Test

Students T Test for Single Samples

Students T Test for Correlated and Independent Groups

Introduction to the Analysis of Variance

Introduction to the Two-Way Analysis of Variance

Chi-Square and Other Nonparametric Tests

Filters