BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Pearson coefficient is a type of correlation coefficient that represents the relationship between two variables that are measured on the same interval. An inverse correlation is a relationship between two variables such that when one variable is high the other is low and vice versa.

Detailed explanation-2: -Pearson’s correlation coefficient (r) is used to demonstrate whether two variables are correlated or related to each other.

Detailed explanation-3: -A correlation coefficient is a bivariate statistic when it summarizes the relationship between two variables, and it’s a multivariate statistic when you have more than two variables.

Detailed explanation-4: -Pearson Correlation. Correlation coefficients estimate strength and direction of association between two interval/ratio level variables. Used to create a summary measure that reflects the covariation between two interval/ratio variables, the Pearson Correlation Coefficient presented here can range from a-1.00 to 1.00.