BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Correlation analysis in research is a statistical method used to measure the strength of the linear relationship between two variables and compute their association. Simply put-correlation analysis calculates the level of change in one variable due to the change in the other.

Detailed explanation-2: -We can use the correlation coefficient to test whether there is a linear relationship between the variables in the population as a whole.

Detailed explanation-3: -The strength of a linear relationship between two variables is measured by a statistic known as the correlation coefficient, which varies from 0 to-1, and from 0 to +1. There are several correlation coefficients; the most widely used are Pearson’s r and Spearman’s rho.

Detailed explanation-4: -Definition: The correlation coefficient (r ) is a numerical measure that measures the strength and direction of a linear relationship between two quantitative variables.

Detailed explanation-5: -Correlation is a statistical technique that is used to measure and describe the STRENGTH and DIRECTION of the relationship between two variables.