Question 1

The credit for working out the mathematics of correlation and regression goes to

Accepted Answer

A)  Francis Galton 
B)  Charles Darwin 
C)  Karl Pearson 
D)  none of the other alternatives are correct. 
A)  Francis Galton 
B)  Charles Darwin 
C)  Karl Pearson 
D)  none of the other alternatives are correct.

Question 2

Psychologists demonstrated that number of hour spent in class is correlated to grades in that class. The correlation between the number of hours in class and grades is

Accepted Answer

A)  positive 
B)  negative 
C)  zero 
D)  not determinable from the information given. 
A)  positive 
B)  negative 
C)  zero 
D)  not determinable from the information given.

Question 3

Suppose you had the exam scores on the first exam for 100 psychology students. A correlation coefficient could be calculated if the scores were divided according to

Accepted Answer

A)  gender-males and females 
B)  where a person sits in the class-front or back 
C)  both descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct. 
A)  gender-males and females 
B)  where a person sits in the class-front or back 
C)  both descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Question 4

A person who believes in the philosophy of quantification believes

Accepted Answer

A)  only things that be can be counted are real 
B)  you can understand a phenomenon better by representing it with numbers 
C)  better understanding comes by measuring smaller and smaller units of a phenomenon 
D)  numbers are important quality is not. 
A)  only things that be can be counted are real 
B)  you can understand a phenomenon better by representing it with numbers 
C)  better understanding comes by measuring smaller and smaller units of a phenomenon 
D)  numbers are important quality is not.

Question 5

Interpret the meaning of the following statements:
a. There is a large negative correlation between the speed of the car at the time of the crash and the amount of damage.
b. There is a large negative correlation between the amount of time spent on the test and the number of correct responses.
c. There is a zero coefficient between degree of claustrophobia and age.
d. There is a positive correlation between the number of times a person has been married and his or her happiness.

Accepted Answer

a. The faster the car was going, the les

Question 6

An Introductory Psychology teacher wanted to know the relationship between course grades and course evaluation. He had all students in his Introductory Psychology sections complete a course evaluation. From these evaluations, he randomly selected the course evaluation of 15 students. He correlated their course-evaluation scores with their course grades, letting A = 5, B = 4, C = 3, D = 2, and F = 1. Here are his data.   
a. Compute r.
b. Interpret r.

Accepted Answer

a.
\[\begin{array} { l c c } 
\Sigma \ma

Question 7

Pearson product-moment correlation coefficients can accurately describe the relationship between two variables when

Accepted Answer

A)  one of the variables has a truncated range 
B)  the two variables are measuring different things 
C)  the relationship between the two variables is curvilinear 
D)  all of the other alternatives are correct. 
A)  one of the variables has a truncated range 
B)  the two variables are measuring different things 
C)  the relationship between the two variables is curvilinear 
D)  all of the other alternatives are correct.

Question 8

In comparing a positive and a negative correlation coefficient of equal size, you can say that the positive one is

Accepted Answer

A)  larger than the negative one 
B)  stronger than the negative one 
C)  accounts for more variance than the negative one 
D)  none of the other alternatives is correct. 
A)  larger than the negative one 
B)  stronger than the negative one 
C)  accounts for more variance than the negative one 
D)  none of the other alternatives is correct.

Question 9

Formulas for r in the textbook use the standard deviation, S.

Accepted Answer

A) True 
 B)False

Question 10

a.Find r for the z scores below. $$\begin{array} { r r } 
\underline { z _ { X } }  & \underline { z _ { Y } } \
1.3&1.2\
- 0.3 & 0.2 \
- 1.2 & - 2.1 \
0.5 & 0.3 \
- 0.6 & - 0.2
\end{array}$$ b. Compute the coefficient of determination for the data above.

Accepted Answer

None

Question 11

The regression coefficient, b, is most closely related to

Accepted Answer

A)  the angle the regression line makes with the X axis 
B)  the place the regression line crosses the Y axis 
C)  the Y score predicted for an X score that is the mean of the X distribution 
D)  the absolute size of the correlation coefficient. 
A)  the angle the regression line makes with the X axis 
B)  the place the regression line crosses the Y axis 
C)  the Y score predicted for an X score that is the mean of the X distribution 
D)  the absolute size of the correlation coefficient.

Question 12

Given the regression equation, $\hat { Y }$ = 6 + 0.5X, where X is a score on an attitude scale and $\hat { Y }$ is a job satisfaction score, what satisfaction score would be predicted for an attitude score of 10?

Accepted Answer

A)  1 
B)  11 
C)  56 
A)  1 
B)  11 
C)  56

Question 13

Five "natural" athletes were asked to participate in a study of motor skills. As part of the study they learned to balance on a freestanding ladder (a skill that requires you to make quick, precise adjustments) and to perform the two-hand coordination task (an eye-hand coordination task). The scores are shown below.Calculate a correlation coefficient and write a conclusion about motor skills in excellent athletes. Construct a scatterplot. $$\begin{array} { c c c } 
\text { Initials } & \text { Ladder } & \text { Coordination } \
\hline \text { TH } & 8 & 1.7 \
\text { IS } & 11 & 1.0 \
\text { IS } & 3 & 1.2 \
\text { TR } & 7 & 1.5 \
\text { UE } & 9 & 0.6
\end{array}$$

Accepted Answer

There is very little, if any,

Question 14

To determine the percent of variance that two variables have in common, you need the

Accepted Answer

A)  coefficient of determination 
B)  coefficient of correlation 
C)  regression coefficients 
D)  none of the other alternatives are correct. 
A)  coefficient of determination 
B)  coefficient of correlation 
C)  regression coefficients 
D)  none of the other alternatives are correct.

Question 15

Your textbook said that truncating the range of a distribution increases the size of r.

Accepted Answer

A) True 
 B)False

Question 16

An industrial psychologist constructed a test intended to predict on-the-job success of applicants for the position of widget inspector. In order to discover how well her test worked, she gave her new test to the first applicants for the job and hired them on probationary status regardless of their test scores. She then counted the number of faulty widgets approved by each applicant during their first week on the job. Below are the test scores and errors in approval for each applicant. $\begin{array}{c}
\begin{array}{ccc}&&\text { Faulty Widgets }\
 \underline{\text { plicant} } &  \underline{\text { Test Score} } & \underline{ \text { Approved }} \
 1 & 20 & 2 \
 2 & 18 & 1 \
 3 & 17 & 5 \
4 & 16 & 4 \
 5 & 16 & 3 \
 6 & 15 & 6 \
 7 & 15 & 9 \
 8 & 13 & 5 \
\end{array}
\begin{array}{ccc}
&&\text { Faulty Widgets }\
  \underline{\text { Applicant }} & \underline{ \text { Test Score} } &  \underline{\text { Approved }} \
 9 & 13 & 12 \
10 & 13 & 8 \
11 & 12 & 10 \
12 & 11 & 7 \
13 & 9 & 14 \
 14 & 6 & 17 \
 15 & 4 & 22 \

\end{array}
\end{array}$
 
a. How good is the test?
b. How many faulty widgets would you expect to be approved during the first week on the job by a person who scored 14 on the test?

Accepted Answer

a.
\[\begin{array} { c c c } 
\Sigma \ma

Question 17

Data Set 6-1
The correlation between the number of PhDs and the number of mules in a state used to be approximately -.90. Accept the following simplified summary data.
 $\begin{array}{lll}
& \underline{\text { PhDs}}& \underline{\text { Mules }}\
\text { Mean } & 40 & 200 \
\text { Standard Deviation } & 15 & 50
\end{array}$ 
In questions based on Data Set 6-1, the task is to predict the number of mules for a state, given the number of PhDs.
-Look at Data Set 6-1. For a state with no PhDs the predicted number of mules is

Accepted Answer

A)  320 
B)  80 
C)  20 
D)  none of the other alternatives are correct. 
A)  320 
B)  80 
C)  20 
D)  none of the other alternatives are correct.

Question 18

Data Set 6-7
 $$\begin{array} { l l } 
X & Y \
\hline 1 & 4 \
2 & 5 \
4 & 6
\end{array}$$
-In Data Set 6-7, $\Sigma$XY is

Accepted Answer

A)  90 
B)  98 
C)  105 
D)  38 
A)  90 
B)  98 
C)  105 
D)  38

Question 19

Francis Galton's principal interest was in

Accepted Answer

A)  sociology 
B)  heredity 
C)  the psychology of learning 
D)  the psychology of perception. 
A)  sociology 
B)  heredity 
C)  the psychology of learning 
D)  the psychology of perception.

Question 20

According to your textbook, there is acorrelation between number of test takers in a room and motivation.

Accepted Answer

A)  positive 
B)  negative 
C)  zero. 
A)  positive 
B)  negative 
C)  zero.

The credit for working out the mathematics of correlation and regression goes to

Psychologists demonstrated that number of hour spent in class is correlated to grades in that class. The correlation between the number of hours in class and grades is

Suppose you had the exam scores on the first exam for 100 psychology students. A correlation coefficient could be calculated if the scores were divided according to

A person who believes in the philosophy of quantification believes

Pearson product-moment correlation coefficients can accurately describe the relationship between two variables when

In comparing a positive and a negative correlation coefficient of equal size, you can say that the positive one is

Formulas for r in the textbook use the standard deviation, S.

a.Find r for the z scores below. 1.3 1.2 -0.3 0.2 -1.2 -2.1 0.5 0.3 -0.6 -0.2 b. Compute the coefficient of determination for the data above.

The regression coefficient, b, is most closely related to

Given the regression equation, $\hat { Y }$ = 6 + 0.5X, where X is a score on an attitude scale and $\hat { Y }$ is a job satisfaction score, what satisfaction score would be predicted for an attitude score of 10?

To determine the percent of variance that two variables have in common, you need the

Your textbook said that truncating the range of a distribution increases the size of r.

Data Set 6-7 X Y 1 4 2 5 4 6 -In Data Set 6-7, $\Sigma$ XY is

Francis Galton's principal interest was in

According to your textbook, there is acorrelation between number of test takers in a room and motivation.

Introduction

Exploring Data: Frequency Distributions and Graphs

Exploring Data: Central Tendency

Exploring Data: Variability

Other Descriptive Statistics

Theoretical Distributions Including the Normal Distribution

Samples, Sampling Distributions, and Confidence Intervals

Hypothesis Testing and Effect Size: One-Sample Designs

Hypothesis Testing, Effect Size, and and Confidence Intervals: Two-Sample Designs

Analysis of Variance: One-Way Classification

Analysis of Variance: One-Factor Repeated Measures

Analysis of Variance: Factorial Design

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters

Exam 6: Correlation and Regression

The credit for working out the mathematics of correlation and regression goes to

Psychologists demonstrated that number of hour spent in class is correlated to grades in that class. The correlation between the number of hours in class and grades is

Suppose you had the exam scores on the first exam for 100 psychology students. A correlation coefficient could be calculated if the scores were divided according to

A person who believes in the philosophy of quantification believes

Pearson product-moment correlation coefficients can accurately describe the relationship between two variables when

In comparing a positive and a negative correlation coefficient of equal size, you can say that the positive one is

Formulas for r in the textbook use the standard deviation, S.

a.Find r for the z scores below. 1.3 1.2 -0.3 0.2 -1.2 -2.1 0.5 0.3 -0.6 -0.2 b. Compute the coefficient of determination for the data above.

The regression coefficient, b, is most closely related to

Given the regression equation, Y^\hat { Y }Y^ = 6 + 0.5X, where X is a score on an attitude scale and Y^\hat { Y }Y^ is a job satisfaction score, what satisfaction score would be predicted for an attitude score of 10?

To determine the percent of variance that two variables have in common, you need the

Your textbook said that truncating the range of a distribution increases the size of r.

Data Set 6-7 X Y 1 4 2 5 4 6 -In Data Set 6-7, Σ\SigmaΣ XY is

Francis Galton's principal interest was in

According to your textbook, there is acorrelation between number of test takers in a room and motivation.

Introduction

Exploring Data: Frequency Distributions and Graphs

Exploring Data: Central Tendency

Exploring Data: Variability

Other Descriptive Statistics

Theoretical Distributions Including the Normal Distribution

Samples, Sampling Distributions, and Confidence Intervals

Hypothesis Testing and Effect Size: One-Sample Designs

Hypothesis Testing, Effect Size, and and Confidence Intervals: Two-Sample Designs

Analysis of Variance: One-Way Classification

Analysis of Variance: One-Factor Repeated Measures

Analysis of Variance: Factorial Design

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters

Given the regression equation, $\hat { Y }$ = 6 + 0.5X, where X is a score on an attitude scale and $\hat { Y }$ is a job satisfaction score, what satisfaction score would be predicted for an attitude score of 10?

Data Set 6-7 X Y 1 4 2 5 4 6 -In Data Set 6-7, $\Sigma$ XY is