< Correlation

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 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

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