Question 1

As a member of the General Linear Model,Pearson's r can be calculated from ANOVA.

Accepted Answer

A) True 
 B)False

Question 2

An r-squared value of .40 means that the independent variable has accounted for 16% of the variance in the dependent variable.

Accepted Answer

A) True 
 B)False  True

Question 3

The most important advantage of using Pearson's r is that

Accepted Answer

A)  it can be interpreted as a direct-PRE measure
B)  it is the only statistic that has multivariate capabilities
C)  the measure itself has very few assumptions about data
D)  it is sensitive to the magnitude of change between pairs of scoresE) A) and B)
F) A) and C)

Question 4

Pearson's r can easily be extended to a multivariate statistical technique

Accepted Answer

A)  with multiple independent variables
B)  with multiple dependent variables
C)  with the restriction that only one control variable can be used
D)  all of the aboveE) A) and D)
F) A) and C)

Question 5

An alternative to regression,when assumptions are severely violated,is the Contingency Coefficient statistic.

Accepted Answer

A) True 
 B)False

Question 6

Pearson's r will provide both symmetric and asymmetric relationship values,but you have to know which one to use.

Accepted Answer

A) True 
 B)False

Question 7

Pearson's r is designed for data measured at the

Accepted Answer

A)  nominal level
B)  ordinal level
C)  interval level
D)  metric ordinal levelE) B) and C)
F) All of the above

Question 8

Pearson's r is known as a parametric statistic.

Accepted Answer

A) True 
 B)False

Question 9

Assumptions of Pearson's r include which of the following?

Accepted Answer

A)  normally distributed data
B)  homoscedasticity
C)  the residual variance in uncorrelated with the independent variable
D)  all of the aboveE) B) and C)
F) A) and D)

Question 10

Pearson's r is reasonably able to withstand the effect of violating one of its assumptions.

Accepted Answer

A) True 
 B)False

Question 11

Given the formula Y = a + bX,if the Pearson's r value is .60 the value of b would have to be:

Accepted Answer

A)  half of .60 or .30
B)  60
C)  .36
D)  none of the aboveE) A) and C)
F) B) and C)

Question 12

The correlation value for Pearson's r does not reach 1.0 (unity)but will after you square it.

Accepted Answer

A) True 
 B)False  False

Question 13

The type of relationship measured by Pearson's r is

Accepted Answer

A)  exponential
B)  uniform
C)  linear
D)  curvilinearE) B) and D)
F) B) and C) C

Question 14

If you calculated a Pearson's r-square of .36 between median incomes and city crime rates it means that:

Accepted Answer

A)  36 percent of the variance in city crime rates is explained
B)  60 percent of the variance in city crime rates is explained
C)  6 percent of the variance in median incomes is explained
D)  13 percent of the variance in either median incomes or city crime rates is explainedE) A) and C)
F) C) and D)

Question 15

If the correlation value for Pearson's r is positive,an asymmetric version of the test has been used.

Accepted Answer

A) True 
 B)False

Question 16

An r-squared value of .50 means that the relationship is positive.

Accepted Answer

A) True 
 B)False

Question 17

The linear function,Y = a + bx,is used to estimate the actual amount of effect variable X will have on variable Y

Accepted Answer

A)  under the condition that X = 2Y
B)  under the condition that Y = 2X
C)  for each unit increase in Y
D)  for each unit increase in XE) B) and D)
F) B) and C)

Question 18

If Pearson's r = .50 and N = 20,then the proportion of explained variance is:

Accepted Answer

A)  .50
B)  20
C)  10
D)  .25E) B) and D)
F) C) and D)

Question 19

In order to assess the results of a prediction using Pearson's r,you would need

Accepted Answer

A)  both the correlation coefficient and the regression coefficient
B)  both b and Beta
C)  only r
D)  none of the aboveE) None of the above
F) A) and B)

Question 20

It is possible to have both a high correlation coefficient and a low regression coefficient.

Accepted Answer

A) True 
 B)False

Exam 16: Testing for Association: Pearsons R and Regression

As a member of the General Linear Model,Pearson's r can be calculated from ANOVA.

Correct AnswerverifiedShow Answer

An r-squared value of .40 means that the independent variable has accounted for 16% of the variance in the dependent variable.

Correct AnswerverifiedTrue

The most important advantage of using Pearson's r is that

Correct AnswerverifiedShow Answer

Pearson's r can easily be extended to a multivariate statistical technique

Correct AnswerverifiedShow Answer

An alternative to regression,when assumptions are severely violated,is the Contingency Coefficient statistic.

Correct AnswerverifiedShow Answer

Pearson's r will provide both symmetric and asymmetric relationship values,but you have to know which one to use.

Correct AnswerverifiedShow Answer

Pearson's r is designed for data measured at the

Correct AnswerverifiedShow Answer

Pearson's r is known as a parametric statistic.

Correct AnswerverifiedShow Answer

Assumptions of Pearson's r include which of the following?

Correct AnswerverifiedShow Answer

Pearson's r is reasonably able to withstand the effect of violating one of its assumptions.

Correct AnswerverifiedShow Answer

Given the formula Y = a + bX,if the Pearson's r value is .60 the value of b would have to be:

Correct AnswerverifiedShow Answer

The correlation value for Pearson's r does not reach 1.0 (unity)but will after you square it.

Correct AnswerverifiedFalse

The type of relationship measured by Pearson's r is

Correct AnswerverifiedC

If you calculated a Pearson's r-square of .36 between median incomes and city crime rates it means that:

Correct AnswerverifiedShow Answer

If the correlation value for Pearson's r is positive,an asymmetric version of the test has been used.

Correct AnswerverifiedShow Answer

An r-squared value of .50 means that the relationship is positive.

Correct AnswerverifiedShow Answer

The linear function,Y = a + bx,is used to estimate the actual amount of effect variable X will have on variable Y

Correct AnswerverifiedShow Answer

If Pearson's r = .50 and N = 20,then the proportion of explained variance is:

Correct AnswerverifiedShow Answer

In order to assess the results of a prediction using Pearson's r,you would need

Correct AnswerverifiedShow Answer

It is possible to have both a high correlation coefficient and a low regression coefficient.

Correct AnswerverifiedShow Answer

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True

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False

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C

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