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 $r={\frac {\sum z_{x}z_{y}}{n-?}}.$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