Question 1

Which of these describes the strongest relationship?

Accepted Answer

A)  r = .7 
B)  r = .6 
C)  r = -.8 
D)  These correlations do not differ in strength. 
A)  r = .7 
B)  r = .6 
C)  r = -.8 
D)  These correlations do not differ in strength.

Question 2

A scatterplot depicting a circular cloud of data could be described as ______.

Accepted Answer

A)  a negative relationship 
B)  a positive relationship 
C)  a perfect relationship 
D)  no relationship 
A)  a negative relationship 
B)  a positive relationship 
C)  a perfect relationship 
D)  no relationship

Question 3

The value of a correlation reflects ______.

Accepted Answer

A)  one piece of information: magnitude 
B)  two pieces of information: magnitude and direction 
C)  three pieces of information: magnitude, direction, and strength 
D)  none of these 
A)  one piece of information: magnitude 
B)  two pieces of information: magnitude and direction 
C)  three pieces of information: magnitude, direction, and strength 
D)  none of these

Question 4

In the following regression line, the intercept is 5: y′ = 23x - 5

Accepted Answer

A) True 
 B)False

Question 5

Given a dataset where r = .8, adding a new case where the value of x is high and the value of y is high is most likely to ______.

Accepted Answer

A)  increase the magnitude of the correlation 
B)  decrease the magnitude of the correlation 
C)  have no effect on the correlation 
D)  skew the correlation 
A)  increase the magnitude of the correlation 
B)  decrease the magnitude of the correlation 
C)  have no effect on the correlation 
D)  skew the correlation

Question 6

To people unfamiliar with statistics, "correlation" most likely is used a synonym for ______.

Accepted Answer

A)  linear relationship 
B)  relationship 
C)  curvilinear relationship 
D)  none of these 
A)  linear relationship 
B)  relationship 
C)  curvilinear relationship 
D)  none of these

Question 7

A linear relationship is a relationship that ______.

Accepted Answer

A)  follows a straight line 
B)  follows a curved line 
C)  follows a straight or curved line 
D)  none of these 
A)  follows a straight line 
B)  follows a curved line 
C)  follows a straight or curved line 
D)  none of these

Question 8

You find a correlation of .5. What percentage of variability in your x-variable can be explained by your y-variable?

Accepted Answer

A)  50% 
B)  5% 
C)  25% 
D)  none of these 
A)  50% 
B)  5% 
C)  25% 
D)  none of these

Question 9

If you can predict y from x with 100% accuracy, you can refer to this as a perfect relationship.

Accepted Answer

A) True 
 B)False

Question 10

A correlation of -.8 is stronger than a correlation of .6.

Accepted Answer

A) True 
 B)False

Question 11

As one variable goes down, the other goes down. This describes a positive relationship.

Accepted Answer

A) True 
 B)False

Question 12

If r = .6, 36% of the variance in each variable is explained by the other.

Accepted Answer

A) True 
 B)False

Question 13

A correlation can be calculated by adding each multiplied pair of z-scores together and dividing by degrees of freedom.

Accepted Answer

A) True 
 B)False

Question 14

Correlation and the χ2 test of independence are similar in purpose with a few key differences. Describe how are these tests are similar. Describe how they are different.

Accepted Answer

These statistics are similar in that bot

Which of these describes the strongest relationship?

A scatterplot depicting a circular cloud of data could be described as ______.

The value of a correlation reflects ______.

In the following regression line, the intercept is 5: y′ = 23x - 5

Given a dataset where r = .8, adding a new case where the value of x is high and the value of y is high is most likely to ______.

To people unfamiliar with statistics, "correlation" most likely is used a synonym for ______.

A linear relationship is a relationship that ______.

You find a correlation of .5. What percentage of variability in your x-variable can be explained by your y-variable?

If you can predict y from x with 100% accuracy, you can refer to this as a perfect relationship.

A correlation of -.8 is stronger than a correlation of .6.

As one variable goes down, the other goes down. This describes a positive relationship.

If r = .6, 36% of the variance in each variable is explained by the other.

A correlation can be calculated by adding each multiplied pair of z-scores together and dividing by degrees of freedom.

Correlation and the χ² test of independence are similar in purpose with a few key differences. Describe how are these tests are similar. Describe how they are different.

The Language of Statistics

Working With Numbers and Data Display

Central Tendency and Variability

Probability Distributions

Sampling Distributions

Estimation and Confidence Intervals

Hypothesis Testing

Tests for Significance: Z-Tests and One-Sample T-Tests

Tests for Significance: Paired and Independent-Samples T-Test

Analysis of Variance Anova

CHI-Squared Tests of Fit

Matching Statistical Tests to Business Problems

Filters

Exam 12: Correlation R and Regression Y BX A

Which of these describes the strongest relationship?

A scatterplot depicting a circular cloud of data could be described as ______.

The value of a correlation reflects ______.

In the following regression line, the intercept is 5: y′ = 23x - 5

Given a dataset where r = .8, adding a new case where the value of x is high and the value of y is high is most likely to ______.

To people unfamiliar with statistics, "correlation" most likely is used a synonym for ______.

A linear relationship is a relationship that ______.

You find a correlation of .5. What percentage of variability in your x-variable can be explained by your y-variable?

If you can predict y from x with 100% accuracy, you can refer to this as a perfect relationship.

A correlation of -.8 is stronger than a correlation of .6.

As one variable goes down, the other goes down. This describes a positive relationship.

If r = .6, 36% of the variance in each variable is explained by the other.

A correlation can be calculated by adding each multiplied pair of z-scores together and dividing by degrees of freedom.

Correlation and the χ2 test of independence are similar in purpose with a few key differences. Describe how are these tests are similar. Describe how they are different.

The Language of Statistics

Working With Numbers and Data Display

Central Tendency and Variability

Probability Distributions

Sampling Distributions

Estimation and Confidence Intervals

Hypothesis Testing

Tests for Significance: Z-Tests and One-Sample T-Tests

Tests for Significance: Paired and Independent-Samples T-Test

Analysis of Variance Anova

CHI-Squared Tests of Fit

Matching Statistical Tests to Business Problems

Filters

Correlation and the χ² test of independence are similar in purpose with a few key differences. Describe how are these tests are similar. Describe how they are different.