Review on Chi-square and Correlation

What does Pearson’s r measure?

• Causation between two variables

• Strength and direction of a linear relationship

• Frequency of a data set

• Probability of an event

The values of Pearson’s r range from:

• -10 to +10

• 0 to 1

• -1 to +1

• -100 to +100

If r = 0.85, what does this indicate?

• Weak positive linear relationship

• Strong positive linear relationship

• No relationship

• Strong negative linear relationship

A correlation of r = 0 means:

• A perfect relationship

• No linear relationship

• A perfect negative relationship

• The data is normally distributed

Which tool is most appropriate for measuring correlation?

• Histogram

• Pie chart

• Pearson’s r

• Mode

Which situation is most likely to show a negative correlation?

• Study time and test scores

• Number of cars and carbon emissions

• Exercise and weight

• Age and height among children

A researcher finds r = 1. What does this mean?

• There is no correlation

• Perfect negative correlation

• Perfect positive linear relationship

• The data is invalid

What is the main purpose of a Chi-Square test?

• To find the mean of a distribution

• To determine a correlation between variables

• To test relationships between categorical variables

• To predict future outcomes

9. Which scatterplot displays a strong negative correlation?

• A

• B

• C

• D

10. When performing a Chi-Square goodness-of-fit test, you are comparing:

• A. Multiple variables from one sample

• B. Two variables from different samples

• C. Observed frequencies to expected frequencies

• D. Means of different groups