Correlation and covariance can be used to examine relationships between numerical variables and categorical variables that have been coded numerically.
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Q1: An example of a joint category of
Q5: Correlation is a single-number summary of a
Q6: It is possible that the data points
Q9: Problems in data analysis where we want
Q10: We do not even try to interpret
Q18: If the standard deviations of X and
Q30: Joint categories for categorical variables cannot be
Q35: Generally speaking,if two variables are unrelated,the covariance
Q36: The tables that result from pivot tables
Q37: The cutoff for defining a large correlation
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