Question 1

To determine whether a correlation coefficient is small, medium, or large

Accepted Answer

A)  always use Cohen's guidelines 
B)  always use Hemphill's guidelines 
C)  use Cohen's guidelines for reliability Hemphill's for cause and effect. 
D)  you must first know the reason the coefficient was calculated. 
A)  always use Cohen's guidelines 
B)  always use Hemphill's guidelines 
C)  use Cohen's guidelines for reliability Hemphill's for cause and effect. 
D)  you must first know the reason the coefficient was calculated.

Question 2

Suppose that college grade point average and the verbal portion of an IQ test had a correlation of .63. What percent of the variance do those two have in common?

Accepted Answer

A)  40 
B)  80 
C)  63 
D)  16. 
A)  40 
B)  80 
C)  63 
D)  16.

Question 3

"I started with just a little, mild punishment. Over the weeks I punished him more and more frequently. Sure enough, during this time his disruptive behavior has become less and less of a problem." The correlation between punishment and disruptive behavior is

Accepted Answer

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

Question 4

Bivariate distributions are required for calculating correlation coefficients.

Accepted Answer

A) True 
 B)False

Question 5

Cohen's guidelines (which do not apply to all applications) are that small, medium, and large values of r correspond to

Accepted Answer

A)  .10, .20, .30 
B)  .00, .50, 1.00 
C)  .46, .67, .84 
D)  .10, .30, .50. 
A)  .10, .20, .30 
B)  .00, .50, 1.00 
C)  .46, .67, .84 
D)  .10, .30, .50.

Question 6

Whether a correlation coefficient is considered small, medium, or large is a question of

Accepted Answer

A)  reliability 
B)  effect size 
C)  cause and effect 
D)  truncation. 
A)  reliability 
B)  effect size 
C)  cause and effect 
D)  truncation.

Question 7

Which of the following statements describes a positive correlation?

Accepted Answer

A)  The more I study the lower my test scores. 
B)  The greater the cost the better the merchandise. 
C)  Walnut is more dense than pine. 
D)  none of the other alternatives are correct. 
A)  The more I study the lower my test scores. 
B)  The greater the cost the better the merchandise. 
C)  Walnut is more dense than pine. 
D)  none of the other alternatives are correct.

Question 8

Data Set 6-10: The correlation between a score based on anthropometric measurements (height, strength, reaction time and others) and college GPA is .05. Your task will be to predict GPA, given the anthro measurements. Be sure you set this up properly and work precisely (3 or 4 decimal places.).
 $$\begin{array} { l c r } 
& \underline{ \text { GPA }} & \underline{ \text { Anthro }} \
 \text { Mean } & 2.6 & 20 \
\text { Standard Deviation } & 0.7 & 4
\end{array}$$
-Based on Data Set 6-10, predict a GPA for a person whose anthro data score was 15.

Accepted Answer

A)  1.2 
B)  2.6 
C)  4.0 
A)  1.2 
B)  2.6 
C)  4.0

Question 9

There is a strong positive relationship between students' critical reading ability and math ability.

Accepted Answer

A) True 
 B)False

Question 10

Given the regression equation, $\hat { Y }$ = 62 + 0.4X, where X is length at birth and Y is adult height, what adult height would you predict for a baby 20 inches long at birth?

Accepted Answer

A)  68 inches 
B)  54 inches 
C)  neither 68 inches nor 54 inches 
D)  cannot be determined from the information given. 
A)  68 inches 
B)  54 inches 
C)  neither 68 inches nor 54 inches 
D)  cannot be determined from the information given.

Question 11

Which of the following statements describes a negative correlation?

Accepted Answer

A)  The more the better. 
B)  At first practice produces big changes but as time goes on each practice session produces fewer and fewer changes. 
C)  The more the government gives to you, the lower your ability to think for yourself. 
D)  None of the other alternatives are correct. 
A)  The more the better. 
B)  At first practice produces big changes but as time goes on each practice session produces fewer and fewer changes. 
C)  The more the government gives to you, the lower your ability to think for yourself. 
D)  None of the other alternatives are correct.

Question 12

To find the value of the cross products for a correlation coefficient, multiply the two means.

Accepted Answer

A) True 
 B)False

Question 13

A correlation coefficient of about -.7 goes with the relationship between

Accepted Answer

A)  per capita income and violent crime rate in the 50 American states 
B)  critical reading aptitude and mathematics aptitude 
C)  number of test takers in a room and motivation. 
A)  per capita income and violent crime rate in the 50 American states 
B)  critical reading aptitude and mathematics aptitude 
C)  number of test takers in a room and motivation.

Question 14

Data Set 6-4
 $$\begin{array} { l l } 
X & Y \
\hline 1 & 4 \
2 & 5 \
3 & 6
\end{array}$$
-In Data Set 6-4, $\Sigma$XYis

Accepted Answer

A)  90 
B)  16 
C)  21 
D)  none of the other alternatives are correct. 
A)  90 
B)  16 
C)  21 
D)  none of the other alternatives are correct.

Question 15

Look at the three sets of distributions below and without doing any calculations, label them as positive or negative correlations.
-$$\begin{array} { r r } 
X & Y \
\hline 10 & 6 \
8 & 9 \
7 & 7 \
7 & 8 \
5 & 10 \
2 & 12
\end{array}$$

Accepted Answer

A)  positive 
B) negative 
A)  positive 
B) negative

Question 16

The story on Bluma Zeigarnik, the Russian Gestalt psychologist for whom the Zeigarnik Effect is named, is that her first clue that people remember uncompleted tasks better than completed ones was at her favorite restaurant in Berlin. It seems that her regular waiter could remember tons of details about customers who did not pay their bills but little about those who did. Here are some data that illustrate her observations. The X variable is the number of months a bill was outstanding for a customer and Y was the number of items the waiter could recall about the customer. $$\begin{array} { c c } 
X & Y \
\hline 6 & 11 \
7 & 10 \
7 & 13 \
8 & 15 \
9 & 14
\end{array}$$ 
a. Compute r.
b. Compute the regression coefficients and give the regression equation.
c. Predict the value of Y from an X value of 7.5.
d. Interpret what you have found.

Accepted Answer

\[\begin{array} { l r r r } 
& \underlin

Question 17

The numerator of the definitional formula of the correlation coefficient is the product of z scores.

Accepted Answer

A) True 
 B)False

Question 18

Data Set 6-8
 $$\begin{array} { l l } 
X & Y \
\hline 1 & 4 \
2 & 3 \
2 & 2
\end{array}$$
-In Data Set 6-8, the Pearson correlation coefficient is

Accepted Answer

A)  0.86 
B)  0.25 
C)  -0.25 
D)  -.87 
A)  0.86 
B)  0.25 
C)  -0.25 
D)  -.87

Question 19

Explain the meaning of the following statements.
a. "The self-confidence of that group of recruits is negatively correlated with their chances of getting through the course."
b. "There seems to be no correlation between how productive these faculty members are and the size of their salaries."
c. "There's a strong positive correlation between the quality of facilities and proximity to the administration building."

Accepted Answer

a. The greater the recruits' self-confid

Question 20

Correlation coefficients cannot be used to establish a cause and effect relationship.

Accepted Answer

A) True 
 B)False

To determine whether a correlation coefficient is small, medium, or large

Suppose that college grade point average and the verbal portion of an IQ test had a correlation of .63. What percent of the variance do those two have in common?

"I started with just a little, mild punishment. Over the weeks I punished him more and more frequently. Sure enough, during this time his disruptive behavior has become less and less of a problem." The correlation between punishment and disruptive behavior is

Bivariate distributions are required for calculating correlation coefficients.

Cohen's guidelines (which do not apply to all applications) are that small, medium, and large values of r correspond to

Whether a correlation coefficient is considered small, medium, or large is a question of

Which of the following statements describes a positive correlation?

There is a strong positive relationship between students' critical reading ability and math ability.

Given the regression equation, $\hat { Y }$ = 62 + 0.4X, where X is length at birth and Y is adult height, what adult height would you predict for a baby 20 inches long at birth?

Which of the following statements describes a negative correlation?

To find the value of the cross products for a correlation coefficient, multiply the two means.

A correlation coefficient of about -.7 goes with the relationship between

Data Set 6-4 X Y 1 4 2 5 3 6 -In Data Set 6-4, $\Sigma$ XYis

Look at the three sets of distributions below and without doing any calculations, label them as positive or negative correlations. - X Y 10 6 8 9 7 7 7 8 5 10 2 12

The numerator of the definitional formula of the correlation coefficient is the product of z scores.

Data Set 6-8 X Y 1 4 2 3 2 2 -In Data Set 6-8, the Pearson correlation coefficient is

Correlation coefficients cannot be used to establish a cause and effect relationship.

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

To determine whether a correlation coefficient is small, medium, or large

Suppose that college grade point average and the verbal portion of an IQ test had a correlation of .63. What percent of the variance do those two have in common?

"I started with just a little, mild punishment. Over the weeks I punished him more and more frequently. Sure enough, during this time his disruptive behavior has become less and less of a problem." The correlation between punishment and disruptive behavior is

Bivariate distributions are required for calculating correlation coefficients.

Cohen's guidelines (which do not apply to all applications) are that small, medium, and large values of r correspond to

Whether a correlation coefficient is considered small, medium, or large is a question of

Which of the following statements describes a positive correlation?

There is a strong positive relationship between students' critical reading ability and math ability.

Given the regression equation, Y^\hat { Y }Y^ = 62 + 0.4X, where X is length at birth and Y is adult height, what adult height would you predict for a baby 20 inches long at birth?

Which of the following statements describes a negative correlation?

To find the value of the cross products for a correlation coefficient, multiply the two means.

A correlation coefficient of about -.7 goes with the relationship between

Data Set 6-4 X Y 1 4 2 5 3 6 -In Data Set 6-4, Σ\SigmaΣ XYis

Look at the three sets of distributions below and without doing any calculations, label them as positive or negative correlations. - X Y 10 6 8 9 7 7 7 8 5 10 2 12

The numerator of the definitional formula of the correlation coefficient is the product of z scores.

Data Set 6-8 X Y 1 4 2 3 2 2 -In Data Set 6-8, the Pearson correlation coefficient is

Correlation coefficients cannot be used to establish a cause and effect relationship.

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, $\hat { Y }$ = 62 + 0.4X, where X is length at birth and Y is adult height, what adult height would you predict for a baby 20 inches long at birth?

Data Set 6-4 X Y 1 4 2 5 3 6 -In Data Set 6-4, $\Sigma$ XYis