Correlation and covariance measure
A) the strength of a linear relationship between two numerical variables
B) the direction of a linear relationship between two numerical variables
C) the strength and direction of a linear relationship between two numerical variables
D) the strength and direction of a linear relationship between two categorical variables
E) none of these options
Correct Answer:
Verified
Q30: A line or curve superimposed on a
Q31: We study relationships among numerical variables using
A)
Q32: The Excel function that allows you to
Q33: A useful way of comparing the distribution
Q35: The most common data format is
A)long.
B)short.
C)stacked.
D)unstacked.
Q36: Tables used to display counts of a
Q37: We can infer that there is a
Q38: If the correlation of variables is close
Q39: Example of comparison problems include
A) salary broken
Q80: Counts for categorical variable are often expressed
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