Question 1

Given a - 1.00 correlation coefficient, a raw score of 32 on one measure must be accompanied by a score of - 32 on the corresponding second measure.

Accepted Answer

A) True 
 B)False

Question 2

An ornithologist wants to know how much of a relationship there is between the weight gain of the female flicker during the spring and the number of eggs laid. What is the Pearson r for the data the ornithologist gathered?

Accepted Answer

The answer of An ornithologist wants to know how much...

Question 3

In a straight line the slope approaches zero as the line comes near the point X , Y .

Accepted Answer

A) True 
 B)False

Question 4

Define correlation coefficient.

Accepted Answer

The correlation coefficient is a statist

Question 5

Define phi coefficient.

Accepted Answer

The phi coefficient, denoted as ? (phi),

Question 6

Correlation and regression differ in that _________.

Accepted Answer

A)  correlation is primarily concerned with the size and direction of relationships 
B)  regression is primarily used for prediction 
C)  both of these are true 
D)  neither of these are true 
A)  correlation is primarily concerned with the size and direction of relationships 
B)  regression is primarily used for prediction 
C)  both of these are true 
D)  neither of these are true

Question 7

Define variability accounted for by X.

Accepted Answer

The phrase "variability accounted for by

Question 8

Which of the following is (are) not correct interpretations of Pearson r ?

Accepted Answer

A)  ratio of the variability of Y to the variability of X 
B)  measure of extent to which paired scores occupy the same or opposite positions within their own distributions 
C)  difference between the variability of Y and the variability of X 
D)  square root of the proportion of the total variability of Y accounted for by X 
E)  a and c 
A)  ratio of the variability of Y to the variability of X 
B)  measure of extent to which paired scores occupy the same or opposite positions within their own distributions 
C)  difference between the variability of Y and the variability of X 
D)  square root of the proportion of the total variability of Y accounted for by X 
E)  a and c

Question 9

In an imperfect relationship, _________.

Accepted Answer

A)  all the points fall on the line 
B)  a relationship exists, but all of the points do not fall on the line 
C)  no relationship exists 
D)  a relationship exists, but none of the points can fall on the line 
A)  all the points fall on the line 
B)  a relationship exists, but all of the points do not fall on the line 
C)  no relationship exists 
D)  a relationship exists, but none of the points can fall on the line

Question 10

The correlation between two variables when N = 2 will always be perfect.

Accepted Answer

A) True 
 B)False

Question 11

Define Inverse relationship.

Accepted Answer

An inverse relationship is a type of cor

Question 12

The range of a correlation coefficient is 0 to +1.

Accepted Answer

A) True 
 B)False

Question 13

Spearman rho really derives from Pearson r .

Accepted Answer

A) True 
 B)False

Question 14

You have noticed that as people eat more ice cream they also have darker suntans. From this observation, you conclude _______.

Accepted Answer

A)  eating ice cream causes people to tan darker 
B)  when one's skin tans it causes an urge to eat ice cream 
C)  the results were spurious 
D)  perhaps a third variable is responsible for the correlation 
E)  all of these are possible 
A)  eating ice cream causes people to tan darker 
B)  when one's skin tans it causes an urge to eat ice cream 
C)  the results were spurious 
D)  perhaps a third variable is responsible for the correlation 
E)  all of these are possible

Question 15

It is possible to compute a coefficient of correlation if one is given _________.

Accepted Answer

A)  a single score 
B)  two sets of measurements on the same individuals 
C)  50 scores of a clerical aptitude test 
D)  all of these 
E)  none of these 
A)  a single score 
B)  two sets of measurements on the same individuals 
C)  50 scores of a clerical aptitude test 
D)  all of these 
E)  none of these

Question 16

In order to properly use rho, the variables must be of at least _______ scaling.

Accepted Answer

A)  nominal 
B)  ordinal 
C)  interval 
D)  ratio 
A)  nominal 
B)  ordinal 
C)  interval 
D)  ratio

Question 17

The use of z scores allows comparisons between variables measured on different scales and units.

Accepted Answer

A) True 
 B)False

Question 18

Correlation deals with the relationship between two variables.

Accepted Answer

A) True 
 B)False

Question 19

The easiest way to determine if a relationship is linear is to calculate the regression line.

Accepted Answer

A) True 
 B)False

Given a - 1.00 correlation coefficient, a raw score of 32 on one measure must be accompanied by a score of - 32 on the corresponding second measure.

An ornithologist wants to know how much of a relationship there is between the weight gain of the female flicker during the spring and the number of eggs laid. What is the Pearson r for the data the ornithologist gathered?

In a straight line the slope approaches zero as the line comes near the point X , Y .

Define correlation coefficient.

Define phi coefficient.

Correlation and regression differ in that _________.

Define variability accounted for by X.

Which of the following is (are) not correct interpretations of Pearson r ?

In an imperfect relationship, _________.

The correlation between two variables when N = 2 will always be perfect.

Define Inverse relationship.

The range of a correlation coefficient is 0 to +1.

Spearman rho really derives from Pearson r .

You have noticed that as people eat more ice cream they also have darker suntans. From this observation, you conclude _______.

It is possible to compute a coefficient of correlation if one is given _________.

In order to properly use rho, the variables must be of at least _______ scaling.

The use of z scores allows comparisons between variables measured on different scales and units.

Correlation deals with the relationship between two variables.

The easiest way to determine if a relationship is linear is to calculate the regression line.

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

Given a - 1.00 correlation coefficient, a raw score of 32 on one measure must be accompanied by a score of - 32 on the corresponding second measure.

An ornithologist wants to know how much of a relationship there is between the weight gain of the female flicker during the spring and the number of eggs laid. What is the Pearson r for the data the ornithologist gathered?

In a straight line the slope approaches zero as the line comes near the point X , Y .

Define correlation coefficient.

Define phi coefficient.

Correlation and regression differ in that _________.

Define variability accounted for by X.

Which of the following is (are) not correct interpretations of Pearson r ?

In an imperfect relationship, _________.

The correlation between two variables when N = 2 will always be perfect.

Define Inverse relationship.

The range of a correlation coefficient is 0 to +1.

Spearman rho really derives from Pearson r .

You have noticed that as people eat more ice cream they also have darker suntans. From this observation, you conclude _______.

It is possible to compute a coefficient of correlation if one is given _________.

In order to properly use rho, the variables must be of at least _______ scaling.

The use of z scores allows comparisons between variables measured on different scales and units.

Correlation deals with the relationship between two variables.

The easiest way to determine if a relationship is linear is to calculate the regression line.

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