Correlation coefficient r:
AIndependent
BCov(X,Y)/(σ_X σ_Y); −1 ≤ r ≤ +1
CAlways 1
DVariance
Answer & Solution
Correct answer: B. Cov(X,Y)/(σ_X σ_Y); −1 ≤ r ≤ +1
Pearson correlation: r = Cov(X,Y)/(σ_X σ_Y). r = ±1: perfect linear dependence. r = 0: no linear correlation (could still be dependent non-linearly).
Related questions
Dispersion is measured on the basis of the observations and the:Comparing series measured in different units needs a measure independent of:Which of these is NOT a measure of central tendency?For grouped data, standard deviation is found by replacing each class by its:A series with the lesser coefficient of variation is more:A series with the greater coefficient of variation is more:The coefficient of variation requires that the mean is not:The coefficient of variation is which ratio times 100?