Correlation and covariance can be used to examine relationships between numeric variables as well as for categorical variables that have been coded numerically.
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Q15: If the standard deviation of X is
Q16: The cutoff for defining a large correlation
Q17: To form a scatterplot of X versus
Q18: Side-by-side box plots allow you to quickly
Q19: If the coefficient of correlation r =
Q21: To examine relationships between two categorical variables,we
Q22: Tables used to display counts of a
Q23: Relationships between two variables are less evident
Q24: Examples of comparison problems include
A)salary broken down
Q25: Displaying all correlations between 0.6 and 0.999
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