Question 1

Which of the following correlations would be interpreted as a moderate relationship?

Accepted Answer

A)  .25 
B)  .35 
C)  .45 
D)  .65 
A)  .25 
B)  .35 
C)  .45 
D)  .65

Question 2

When data points group together in a cluster from the lower left-hand side of the xy axis to the upper right-hand side, what is this?

Accepted Answer

A)  Negative slope 
B)  Positive slope 
C)  Negative intercept 
D)  Positive intercept 
A)  Negative slope 
B)  Positive slope 
C)  Negative intercept 
D)  Positive intercept

Question 3

Which of the following correlations would be interpreted as a very strong relationship?

Accepted Answer

A)  .80 
B)  .70 
C)  .60 
D)  .50 
A)  .80 
B)  .70 
C)  .60 
D)  .50

Question 4

If the correlation between variables is .60, what is the coefficient of alienation?

Accepted Answer

The coefficient of a

Question 5

If you wanted to compute the correlation between two nominal-level variables, which type of correlation should you use?

Accepted Answer

A)  Point biserial 
B)  Phi 
C)  Spearman rank 
D)  Pearson 
A)  Point biserial 
B)  Phi 
C)  Spearman rank 
D)  Pearson

Question 6

If the coefficient of determination between two variables is .81, what is the Pearson correlation coefficient?

Accepted Answer

A)  .19 
B)  .34 
C)  .66 
D)  .90 
A)  .19 
B)  .34 
C)  .66 
D)  .90

Question 7

If the correlation between variables is .70, what percent of the variance is not shared variance?

Accepted Answer

The varian

Question 8

Which of the following is a measure of central tendency?

Accepted Answer

A)  Mean 
B)  Variance 
C)  Correlation 
D)  Standard deviation 
A)  Mean 
B)  Variance 
C)  Correlation 
D)  Standard deviation

Question 9

If variables change in the same direction, what type of correlation is this called?

Accepted Answer

A)  Positive correlation 
B)  Negative correlation 
C)  Positive causation 
D)  Negative causation 
A)  Positive correlation 
B)  Negative correlation 
C)  Positive causation 
D)  Negative causation

Question 10

If you wanted to compute the correlation between two interval-level variables, which type of correlation should you use?

Accepted Answer

A)  Point biserial 
B)  Phi 
C)  Spearman rank 
D)  Pearson 
A)  Point biserial 
B)  Phi 
C)  Spearman rank 
D)  Pearson

Which of the following correlations would be interpreted as a moderate relationship?

When data points group together in a cluster from the lower left-hand side of the xy axis to the upper right-hand side, what is this?

Which of the following correlations would be interpreted as a very strong relationship?

If the correlation between variables is .60, what is the coefficient of alienation?

If you wanted to compute the correlation between two nominal-level variables, which type of correlation should you use?

If the coefficient of determination between two variables is .81, what is the Pearson correlation coefficient?

If the correlation between variables is .70, what percent of the variance is not shared variance?

Which of the following is a measure of central tendency?

If variables change in the same direction, what type of correlation is this called?

If you wanted to compute the correlation between two interval-level variables, which type of correlation should you use?

Statistics or Sadistics? It’s Up to You

Means to an End: Computing and Understanding Averages

Vive La Différence: Understanding Variability

A Picture Really Is Worth a Thousand Words

Just the Truth: An Introduction to Understanding Reliability and Validity

Hypotheticals and You: Testing Your Questions

Are Your Curves Normal? Probability and Why It Counts

Significantly Significant: What It Means for You and Me

Only the Lonely

t(ea) for Two (Again): Tests Between the Means of Related Groups

t(ea) for Two (Again): Tests Between the Means of Related Groups

Two Groups Too Many? Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variance

Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient

Predicting Who’ll Win the Super Bowl: Using Linear Regression

What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

Some Other (Important) Statistical Procedures You Should Know About

Filters

Exam 5: Ice Cream and Crime: Computing Correlation Coefficients

Which of the following correlations would be interpreted as a moderate relationship?

When data points group together in a cluster from the lower left-hand side of the xy axis to the upper right-hand side, what is this?

Which of the following correlations would be interpreted as a very strong relationship?

If the correlation between variables is .60, what is the coefficient of alienation?

If you wanted to compute the correlation between two nominal-level variables, which type of correlation should you use?

If the coefficient of determination between two variables is .81, what is the Pearson correlation coefficient?

If the correlation between variables is .70, what percent of the variance is not shared variance?

Which of the following is a measure of central tendency?

If variables change in the same direction, what type of correlation is this called?

If you wanted to compute the correlation between two interval-level variables, which type of correlation should you use?

Statistics or Sadistics? It’s Up to You

Means to an End: Computing and Understanding Averages

Vive La Différence: Understanding Variability

A Picture Really Is Worth a Thousand Words

Just the Truth: An Introduction to Understanding Reliability and Validity

Hypotheticals and You: Testing Your Questions

Are Your Curves Normal? Probability and Why It Counts

Significantly Significant: What It Means for You and Me

Only the Lonely

t(ea) for Two (Again): Tests Between the Means of Related Groups

t(ea) for Two (Again): Tests Between the Means of Related Groups

Two Groups Too Many? Try Analysis of Variance

Two Too Many Factors: Factorial Analysis of Variance

Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient

Predicting Who’ll Win the Super Bowl: Using Linear Regression

What to Do When You’re Not Normal: Chi-Square and Some Other Nonparametric Tests

Some Other (Important) Statistical Procedures You Should Know About

Filters