# Correlation/Introductory quiz

Correlation quiz

This introductory correlation quiz has 10 questions.
If you achieve 8/10 or higher, maybe you don't need to study this topic!
Note: Some of the "guess the correlation" questions here are subjective. If you get close to the right answer, then you are on the right track .

1 Correlation is a __________ type of statistical analysis.

 univariate bivariate multivariate

2 Correlation is:

 the covariance of standardised scores the mean of the population standard deviations a way of testing cause and effect for comparing mean differences none of the above

3 What would you expect the correlation between daily calorie consumption and body weight to be?

 moderate to large positive small positive zero or near zero small negative moderate to large negative

4 Estimate the correlation between driving performance and blood alcohol levels:

 moderate to large positive small positive zero or near zero small negative moderate to large negative

5 Estimate the correlation between use of contraception and likelihood of pregnancy in heterosexual intercourse:

 large positive small to moderately positive zero or near zero small to moderately negative large negative

6 Estimate the correlation between consumer cost and consumer satisfaction:

 moderate to large positive small positive zero or near zero small negative moderate to large negative

7 Estimate the correlation between solar flares and suicide:

 moderate to large positive small positive zero or near zero small negative moderate to large negative

8 The degrees of freedom for Pearson’s product-moment ${\displaystyle r={\frac {\sum z_{x}z_{y}}{n-?}}.}$is equal to:

 0 1 2 7

9 Which of the following checks are not relevant to deciding whether the Pearson product-moment correlation is an appropriate indication of the degree of linear association between two variables?

 Check the scatterplot for outliers Each variable is normally distributed The data represent a sample, not a population Check the scatterplot for linearity

10 The square of the correlation coefficient or r2 is called the

 coefficient of determination variance covariance cross-product Big R