name the different methods of measurement of association of attributes
Answers
Answer:
The method used to determine the strength of an association depends on the characteristics of the data for each variable. Data may be measured on an interval/ratio scale, an ordinal/rank scale, or a nominal/categorical scale.
Answer:
Methods of analysis
Pearson’s correlation coefficient
A typical example for quantifying the association between two variables measured on an interval/ratio scale is the analysis of relationship between a person’s height and weight. Each of these two characteristic variables is measured on a continuous scale. The appropriate measure of association for this situation is Pearson’s correlation coefficient, r (rho), which measures the strength of the linear relationship between two variables on a continuous scale. The coefficient r takes on the values of −1 through +1. Values of −1 or +1 indicate a perfect linear relationship between the two variables, whereas a value of 0 indicates no linear relationship. (Negative values simply indicate the direction of the association, whereby as one variable increases, the other decreases.) Correlation coefficients that differ from 0 but are not −1 or +1 indicate a linear relationship, although not a perfect linear relationship. In practice, ρ (the population correlation coefficient) is estimated by r, which is the correlation coefficient derived from sample data.