Rarely is role playing viewed as the effective and useful coaching tool that it is. When set up and used correctly, role playing is one of the most helpful ways to train and develop your employees.
Correlation Analysis. Correlation analysis is a method for measuring the covariance of two random variables in a matched data set. Covariance is usually expressed as the correlation coefficient of two variables X and Y. The correlation coefficient is a unitless number that varies from -1 to +1.
A correlation describes a relationship between two variables. Unlike descriptive statistics in previous sections, correlations require two or more distributions and are called bivariate (for two) or multivariate (for more than two) statistics. There are different types of correlations that correspond to different levels of measurement. The first correlation you'll study requires that the two variables be measured at the interval or ratio level. The full name of this statistic is the Pearson product-moment correlation coefficient, and it is denoted by the letter, r. In research reports, you'll see references to Pearson r, correlation, correlation coefficient, or just r.