Question 1

The square of a correlation coefficient is called the

Accepted Answer

A)  sum of squares 
B)  coefficient of reliability 
C)  coefficient of determination 
D)  regression coefficient. 
A)  sum of squares 
B)  coefficient of reliability 
C)  coefficient of determination 
D)  regression coefficient.

Question 2

The coefficient of determination is found by

Accepted Answer

A)  squaring a 
B)  squaring b 
C)  finding the product, a x b 
D)  none of the other alternatives are correct. 
A)  squaring a 
B)  squaring b 
C)  finding the product, a x b 
D)  none of the other alternatives are correct.

Question 3

From the data below, $$\begin{array} { l l } 
X & Y \
\hline 9 & 3 \
7 & 4 \
5 & 5 \
3 & 6 \
1 & 7
\end{array}$$ 
a. compute r.
b. interpret r.
c. compute the regression coefficients.
d. predict the value of Y from an X value of 12.

Accepted Answer

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

Question 4

The coefficient of determination allows you to

Accepted Answer

A)  determine two points on the regression line 
B)  predict Y scores if you are given X scores 
C)  predict X scores if you are given Y scores 
D)  none of the other alternatives are correct. 
A)  determine two points on the regression line 
B)  predict Y scores if you are given X scores 
C)  predict X scores if you are given Y scores 
D)  none of the other alternatives are correct.

Question 5

There is a strong negative correlation between per capita income and violent crime in the U.S.

Accepted Answer

A) True 
 B)False

Question 6

Alternate data set. $$\begin{array} { l c c } 
& X & Y \
\text { Person } & \text { N-Ach } & \text { N-Aff } \
\hline 1 & 28 & 12 \
2 & 25 & 14 \
3 & 24 & 11 \
4 & 23 & 16 \
5 & 22 & 22 \
6 & 19 & 18 \
7 & 17 & 25 \
8 & 13 & 26
\end{array}$$ a. Draw a scatterplot and the regression line.b. Compute r and write an interpretation.c. Find the regression coefficients.d. Write the regression equation.e. Predict the N-Aff score for a person with a N-Ach score of 10.

Accepted Answer

12a. Alter

Question 7

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

Accepted Answer

A)  54 
B)  16 
C)  15 
D)  14 
A)  54 
B)  16 
C)  15 
D)  14

Question 8

You can have a strong relationship between two variables but still have a low correlation coefficient when

Accepted Answer

A)  the relationship is not linear 
B)  variables are truncated 
C)  both descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct. 
A)  the relationship is not linear 
B)  variables are truncated 
C)  both descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Question 9

Data Set 6-4
 $$\begin{array} { l l } 
X & Y \
\hline 1 & 4 \
2 & 5 \
3 & 6
\end{array}$$
-The correlation coefficient in Data Set 6-4 is

Accepted Answer

A)  positive 
B)  negative 
C)  zero 
D)  not determinable. 
A)  positive 
B)  negative 
C)  zero 
D)  not determinable.

Question 10

Data Set 6-3
 $$\begin{array} { l l } 
X & Y \
\hline 2 & 3 \
3 & 6 \
5 & 7 \
2 & 4
\end{array}$$
-Look at Data Set 6-3. If you were to compute a correlation coefficient, N would be

Accepted Answer

A)  8 
B)  5 
C)  4 
D)  none of the other alternatives are correct. 
A)  8 
B)  5 
C)  4 
D)  none of the other alternatives are correct.

The square of a correlation coefficient is called the

The coefficient of determination is found by

From the data below, X Y 9 3 7 4 5 5 3 6 1 7 a. compute r. b. interpret r. c. compute the regression coefficients. d. predict the value of Y from an X value of 12.

The coefficient of determination allows you to

There is a strong negative correlation between per capita income and violent crime in the U.S.

Data Set 6-8 X Y 1 4 2 3 2 2 -In Data Set 6-8, $\Sigma$ XY is

You can have a strong relationship between two variables but still have a low correlation coefficient when

Data Set 6-4 X Y 1 4 2 5 3 6 -The correlation coefficient in Data Set 6-4 is

Data Set 6-3 X Y 2 3 3 6 5 7 2 4 -Look at Data Set 6-3. If you were to compute a correlation coefficient, N would be

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 square of a correlation coefficient is called the

The coefficient of determination is found by

From the data below, X Y 9 3 7 4 5 5 3 6 1 7 a. compute r. b. interpret r. c. compute the regression coefficients. d. predict the value of Y from an X value of 12.

The coefficient of determination allows you to

There is a strong negative correlation between per capita income and violent crime in the U.S.

Data Set 6-8 X Y 1 4 2 3 2 2 -In Data Set 6-8, Σ\SigmaΣ XY is

You can have a strong relationship between two variables but still have a low correlation coefficient when

Data Set 6-4 X Y 1 4 2 5 3 6 -The correlation coefficient in Data Set 6-4 is

Data Set 6-3 X Y 2 3 3 6 5 7 2 4 -Look at Data Set 6-3. If you were to compute a correlation coefficient, N would be

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

Data Set 6-8 X Y 1 4 2 3 2 2 -In Data Set 6-8, $\Sigma$ XY is