Question 1

A researcher measures the following correlation: r = -0.21.What is the value of the coefficient of determination?

Accepted Answer

A) 0.04 
B) -0.04 
C) 0.42 
D) -0.42 
A) 0.04 
B) -0.04 
C) 0.42 
D) -0.42

Question 2

A researcher measures the correlation between gender and student aptitude scores from 0 to 100 among 20 participants.If   = 0.49,then what is the decision for this correlation test?

Accepted Answer

A) Retain the null hypothesis. 
B) Reject the null hypothesis. 
C) There is not enough information to answer this question. 
A) Retain the null hypothesis. 
B) Reject the null hypothesis. 
C) There is not enough information to answer this question.

Question 3

Which of the following is a limitation for interpreting a correlation?

Accepted Answer

A) Correlations do not demonstrate cause-and-effect. 
B) Outliers can change the direction and/or strength of the correlation. 
C) Conclusions should not be drawn beyond the range of scores measured. 
D) all of the above 
A) Correlations do not demonstrate cause-and-effect. 
B) Outliers can change the direction and/or strength of the correlation. 
C) Conclusions should not be drawn beyond the range of scores measured. 
D) all of the above

Question 4

The formula for the Spearman correlation coefficient was derived from the formula for the Pearson correlation coefficient.

Accepted Answer

A) True 
 B)False

Question 5

Outliers can change both the direction and strength of a correlation coefficient.

Accepted Answer

A) True 
 B)False

Question 6

Select the description below that identifies the following correlation: r = .28,p < .01.

Accepted Answer

A) the correlation is positive 
B) the correlation is statistically significant 
C) the coefficient of determination is .08 
D) all of the above 
A) the correlation is positive 
B) the correlation is statistically significant 
C) the coefficient of determination is .08 
D) all of the above

Question 7

Three assumptions for a correlation are homoscedasticity,linearity,and normality.

Accepted Answer

A) True 
 B)False

Question 8

Homoscedasticity is the assumption that there is an equal variance of data points dispersed along the regression line.

Accepted Answer

A) True 
 B)False

Question 9

The coefficient of determination is mathematically equivalent to eta-squared.

Accepted Answer

A) True 
 B)False

Question 10

If r = 0.026 and df = 10,then t = 7.20.

Accepted Answer

A) True 
 B)False

Question 11

A researcher measures the correlation in rankings for a sample of restaurants and consumers' rankings of their favorite restaurants.If   = 96 and n = 12,then what is the value of the correlation coefficient?

Accepted Answer

A) 0.07 
B) 0.34 
C) 0.66 
D) 0.94 
A) 0.07 
B) 0.34 
C) 0.66 
D) 0.94

Question 12

The coefficient of determination is

Accepted Answer

A) a measure of effect size 
B) mathematically equivalent to eta-squared 
C) equal to the correlation coefficient squared 
D) all of the above 
A) a measure of effect size 
B) mathematically equivalent to eta-squared 
C) equal to the correlation coefficient squared 
D) all of the above

Question 13

The assumption of normality requires that the range of scores observed in a sample is the same of the possible range of scores in the population.

Accepted Answer

A) True 
 B)False

Question 14

The correlation coefficient can be converted to a t statistic.

Accepted Answer

A) True 
 B)False

Question 15

We convert r to a t statistic for which of the following correlation tests?

Accepted Answer

A) Pearson 
B) Spearman 
C) point-biserial 
D) phi 
A) Pearson 
B) Spearman 
C) point-biserial 
D) phi

Question 16

To summarize correlations,we report:

Accepted Answer

A) the strength of the correlation 
B) the direction of the correlation 
C) the p value 
D) all of the above 
A) the strength of the correlation 
B) the direction of the correlation 
C) the p value 
D) all of the above

Question 17

The value of the sum of products can be positive or negative.

Accepted Answer

A) True 
 B)False

Question 18

Correlation does not show causation.

Accepted Answer

A) True 
 B)False

Question 19

The assumption that there is an equal variance or scatter of data points dispersed along the regression line is referred to as

Accepted Answer

A) normality 
B) linearity 
C) homoscedasticity 
D) restriction of range 
A) normality 
B) linearity 
C) homoscedasticity 
D) restriction of range

Question 20

The point-biserial correlation coefficient is a measure of the direction and strength of the linear relationship between two variables,where

Accepted Answer

A) one is continuous,and one is dichotomous 
B) both variables are on an ordinal scale 
C) one is at interval level or higher and one is ordinal 
D) both variables are on a nominal scale 
A) one is continuous,and one is dichotomous 
B) both variables are on an ordinal scale 
C) one is at interval level or higher and one is ordinal 
D) both variables are on a nominal scale

A researcher measures the following correlation: r = -0.21.What is the value of the coefficient of determination?

A researcher measures the correlation between gender and student aptitude scores from 0 to 100 among 20 participants.If = 0.49,then what is the decision for this correlation test?

Which of the following is a limitation for interpreting a correlation?

The formula for the Spearman correlation coefficient was derived from the formula for the Pearson correlation coefficient.

Outliers can change both the direction and strength of a correlation coefficient.

Select the description below that identifies the following correlation: r = .28,p < .01.

Three assumptions for a correlation are homoscedasticity,linearity,and normality.

Homoscedasticity is the assumption that there is an equal variance of data points dispersed along the regression line.

The coefficient of determination is mathematically equivalent to eta-squared.

If r = 0.026 and df = 10,then t = 7.20.

A researcher measures the correlation in rankings for a sample of restaurants and consumers' rankings of their favorite restaurants.If = 96 and n = 12,then what is the value of the correlation coefficient?

The coefficient of determination is

The assumption of normality requires that the range of scores observed in a sample is the same of the possible range of scores in the population.

The correlation coefficient can be converted to a t statistic.

We convert r to a t statistic for which of the following correlation tests?

To summarize correlations,we report:

The value of the sum of products can be positive or negative.

Correlation does not show causation.

The assumption that there is an equal variance or scatter of data points dispersed along the regression line is referred to as

The point-biserial correlation coefficient is a measure of the direction and strength of the linear relationship between two variables,where

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Filters

Exam 18: Understanding Correlation Coefficients in Statistical Analysis

A researcher measures the following correlation: r = -0.21.What is the value of the coefficient of determination?

A researcher measures the correlation between gender and student aptitude scores from 0 to 100 among 20 participants.If = 0.49,then what is the decision for this correlation test?

Which of the following is a limitation for interpreting a correlation?

The formula for the Spearman correlation coefficient was derived from the formula for the Pearson correlation coefficient.

Outliers can change both the direction and strength of a correlation coefficient.

Select the description below that identifies the following correlation: r = .28,p < .01.

Three assumptions for a correlation are homoscedasticity,linearity,and normality.

Homoscedasticity is the assumption that there is an equal variance of data points dispersed along the regression line.

The coefficient of determination is mathematically equivalent to eta-squared.

If r = 0.026 and df = 10,then t = 7.20.

A researcher measures the correlation in rankings for a sample of restaurants and consumers' rankings of their favorite restaurants.If = 96 and n = 12,then what is the value of the correlation coefficient?

The coefficient of determination is

The assumption of normality requires that the range of scores observed in a sample is the same of the possible range of scores in the population.

The correlation coefficient can be converted to a t statistic.

We convert r to a t statistic for which of the following correlation tests?

To summarize correlations,we report:

The value of the sum of products can be positive or negative.

Correlation does not show causation.

The assumption that there is an equal variance or scatter of data points dispersed along the regression line is referred to as

The point-biserial correlation coefficient is a measure of the direction and strength of the linear relationship between two variables,where

Introduction to Statistics

Summarizing Data: Frequency Distributions in

Summarizing Data: Central Tendency

Summarizing Data: Variability

Probability, Normal Distributions, and Z Scores

Characteristics of the Sample Mean

Hypothesis Testing: Significance, Effect Size, and Power

Testing Means: One-Sample T Test With Confidence Intervals

Testing Means: Two- Independent-Sample T Test With Confidence Intervals

Testing Means: Related-Samples T Test With Confidence Intervals

One-Way Analysis of Variance: Between- Subjects and Within- Subjects Repeated- Measures Designs

Two-Way Analysis of Variance: Between-Subjects Factorial Design

Correlation and Linear Regression

Chi-Square Tests: Goodness of Fit and the Test for Independence

Nonparametric Tests for Ordinal Data: Understanding and Interpretation

Chi-Square Tests: Goodness-of-Fit and Independence

Understanding Regression Analysis

Filters