Question 1

In a positive relationship as X increases, Y increases.

Accepted Answer

A) True 
 B)False

Question 2

The slope of the line reveals whether the relationship is positive or negative.

Accepted Answer

A) True 
 B)False

Question 3

Define Pearson r.

Accepted Answer

Pearson's r, also known as the Pearson p

Question 4

In a perfect positive correlation, each individual obtains the same z score on each variable.

Accepted Answer

A) True 
 B)False

Question 5

Pearson r is _______.

Accepted Answer

A)  a measure of the extent to which paired scores occupy the same or opposite positions within their own distributions. 
B)  the square root of the proportion of the variability of Y that is accounted for by X . 
C)  used when both variables are of interval or ratio scaling. 
D)  All of these are true. 
A)  a measure of the extent to which paired scores occupy the same or opposite positions within their own distributions. 
B)  the square root of the proportion of the variability of Y that is accounted for by X . 
C)  used when both variables are of interval or ratio scaling. 
D)  All of these are true.

Question 6

If one calculates r for a set of numbers and then adds a constant to each value of one of the variables, the correlation will change.

Accepted Answer

A) True 
 B)False

Question 7

Define perfect relationship.

Accepted Answer

A perfect relationship is a subjective c

Question 8

If 49% of the total variability of Y is accounted for by X , what is the value of r ?

Accepted Answer

A)  0.49 
B)  0.51 
C)  0.70 
D)  0.30 
A)  0.49 
B)  0.51 
C)  0.70 
D)  0.30

Question 9

Define positive relationship.

Accepted Answer

A positive relationship refers to a conn

Question 10

Which of the following statements is true?

Accepted Answer

A)  Correlation implies causation. 
B)  Causation implies correlation. 
C)  neither of these 
D)  both of these 
A)  Correlation implies causation. 
B)  Causation implies correlation. 
C)  neither of these 
D)  both of these

Question 11

Given the following set of data for six subjects:

Accepted Answer

The answer of Given the following set of data for...

Question 12

In a positive 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 13

What is the value of the Spearman rank order correlation coefficient (rho) for the following pairs of ranks?

Accepted Answer

A)  0.40 
B)  0.50 
C)  0.60 
D)  0.70 
A)  0.40 
B)  0.50 
C)  0.60 
D)  0.70

Question 14

The correlation coefficient when N = 2 is meaningless.

Accepted Answer

A) True 
 B)False

Question 15

Since r is so widely used, it is appropriate to calculate r for nonlinear data.

Accepted Answer

A) True 
 B)False

Question 16

In the equation Y = bX + a , X and Y are _________.

Accepted Answer

A)  constants 
B)  statistics 
C)  population parameters 
D)  variables 
A)  constants 
B)  statistics 
C)  population parameters 
D)  variables

Question 17

Which of the following statements concerning Pearson r is not true?

Accepted Answer

A)  r = 0.00 represents the absence of a relationship. 
B)  The relationship between the two variables must be nonlinear. 
C)  r = 0.76 has the same predictive power as r = - 0.76. 
D)  r = 1.00 represents a perfect relationship. 
E)  All of these are true statements. 
A)  r = 0.00 represents the absence of a relationship. 
B)  The relationship between the two variables must be nonlinear. 
C)  r = 0.76 has the same predictive power as r = - 0.76. 
D)  r = 1.00 represents a perfect relationship. 
E)  All of these are true statements.

Question 18

A traffic safety officer conducted an experiment to determine whether there is a correlation between people's ages and driving speeds. Six individuals were randomly sampled and the following data were collected.   The value of Pearson r equals _________.

Accepted Answer

A)  - 0.82 
B)  - 0.70 
C)  - 0.63 
D)  +0.70 
A)  - 0.82 
B)  - 0.70 
C)  - 0.63 
D)  +0.70

Question 19

In a negative relationship, _________.

Accepted Answer

A)  b is positive 
B)  b can be either positive or negative 
C)  a must be negative 
D)  b is negative 
A)  b is positive 
B)  b can be either positive or negative 
C)  a must be negative 
D)  b is negative

Question 20

Using the following set of data:

Accepted Answer

The answer of Using the following set of data: ...

In a positive relationship as X increases, Y increases.

The slope of the line reveals whether the relationship is positive or negative.

Define Pearson r.

In a perfect positive correlation, each individual obtains the same z score on each variable.

Pearson r is _______.

If one calculates r for a set of numbers and then adds a constant to each value of one of the variables, the correlation will change.

Define perfect relationship.

If 49% of the total variability of Y is accounted for by X , what is the value of r ?

Define positive relationship.

Which of the following statements is true?

Given the following set of data for six subjects:

In a positive relationship, _________.

What is the value of the Spearman rank order correlation coefficient (rho) for the following pairs of ranks?

The correlation coefficient when N = 2 is meaningless.

Since r is so widely used, it is appropriate to calculate r for nonlinear data.

In the equation Y = bX + a , X and Y are _________.

Which of the following statements concerning Pearson r is not true?

A traffic safety officer conducted an experiment to determine whether there is a correlation between people's ages and driving speeds. Six individuals were randomly sampled and the following data were collected. The value of Pearson r equals _________.

In a negative relationship, _________.

Using the following set of data:

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

In a positive relationship as X increases, Y increases.

The slope of the line reveals whether the relationship is positive or negative.

Define Pearson r.

In a perfect positive correlation, each individual obtains the same z score on each variable.

Pearson r is _______.

If one calculates r for a set of numbers and then adds a constant to each value of one of the variables, the correlation will change.

Define perfect relationship.

If 49% of the total variability of Y is accounted for by X , what is the value of r ?

Define positive relationship.

Which of the following statements is true?

Given the following set of data for six subjects:

In a positive relationship, _________.

What is the value of the Spearman rank order correlation coefficient (rho) for the following pairs of ranks?

The correlation coefficient when N = 2 is meaningless.

Since r is so widely used, it is appropriate to calculate r for nonlinear data.

In the equation Y = bX + a , X and Y are _________.

Which of the following statements concerning Pearson r is not true?

A traffic safety officer conducted an experiment to determine whether there is a correlation between people's ages and driving speeds. Six individuals were randomly sampled and the following data were collected. The value of Pearson r equals _________.

In a negative relationship, _________.

Using the following set of data:

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