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!

<quiz display=simple> {Correlation is a __________ type of statistical analysis. |type="[]"} - univariate + bivariate - multivariate

{Correlation is: |type="[]"} + 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

{What would you expect the correlation between daily calorie consumption and body weight to be? |type="[]"} + moderate to large positive - small positive - zero or near zero - small negative - moderate to large negative

{Estimate the correlation between driving performance and blood alcohol levels: |type="[]"} - moderate to large positive - small positive - zero or near zero - small negative + moderate to large negative

{Estimate the correlation between use of contraception and likelihood of pregnancy in heterosexual intercourse: |type="[]"} - large positive - small to moderately positive - zero or near zero - small to moderately negative + large negative

{Estimate the correlation between consumer cost and consumer satisfaction: |type="[]"} - moderate to large positive - small positive - zero or near zero - small negative + moderate to large negative

{Estimate the correlation between solar flares and suicide: |type="[]"} - moderate to large positive - small positive + zero or near zero - small negative - moderate to large negative

{The degrees of freedom for Pearson’s product-moment $r=\frac{\sum z_x{z}_y}{n-?}.$is equal to: |type="[]"} - 0 - 1 + 2 - 7

{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? |type="[]"} - Check the scatterplot for outliers - Each variable is normally distributed + The data represent a sample, not a population - Check the scatterplot for linearity

{The square of the correlation coefficient or r² is called the |type="[]"} + coefficient of determination - variance - covariance - cross-product - Big R

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