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!

{Correlation is a __________ type of statistical analysis. - univariate + bivariate - multivariate
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{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
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{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
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{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
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{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
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{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
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{Estimate the correlation between solar flares and suicide: - moderate to large positive - small positive + zero or near zero - small negative - moderate to large negative
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{The degrees of freedom for Pearson’s product-moment $$r = \frac {\sum z_x z_y}{n - ?}.$$is equal to: - 0 -  1 +  2 -  7
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{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
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{The square of the correlation coefficient or r2 is called the + coefficient of determination - variance - covariance - cross-product - Big R
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