BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -The correlation coefficient is a statistical measure of the strength of a linear relationship between two variables. Its values can range from-1 to 1.

Detailed explanation-2: -Possible values of the correlation coefficient range from-1 to +1, with-1 indicating a perfectly linear negative, i.e., inverse, correlation (sloping downward) and +1 indicating a perfectly linear positive correlation (sloping upward). A correlation coefficient close to 0 suggests little, if any, correlation.

Detailed explanation-3: -So there’s no way you can get the correlation to be bigger than 1, and it’s equal to 1 when the two variables are identical or when one is a positive multiple of the other, or (more generally) when one is a positive multiple of the other plus a constant difference–ie, a straight line relationship.

Detailed explanation-4: -False. A correlation coefficient must have values between −1 and 1 . A correlation coefficient of 1 represents two variables that are perfectly directly proportional to each other while a correlation coefficient of 0 represents two variables that are not related.