A statistical measure that indicates the extent to which changes in on...
Correlation coefficient: If the change in one variable appears to be accompanied by a change in the other variable, the two variables are said to be co-related and this inter-variation is called correlation.
- For example, if you want to study the relationship between height and weight - whether the change in one will bring a change in other or not. Or if you want to find the relationship between hours of study and achievement, sex and enrolment, etc., you can do so by finding a correlation between them.
- The degree of association or the degree of relationship between two variables is measured quantitatively in the form of an index which is termed as co-efficient of correlation.
- The coefficient of correlation is a single number that tells us to what extent the two variables are related and to what extent the variations in one variable changes with the variations in the other.
Hence, we conclude that the above statement is about the Correlation coefficient.
View all questions of this testA statistical measure that indicates the extent to which changes in on...
Correlation coefficient: If the change in one variable appears to be accompanied by a change in the other variable, the two variables are said to be co-related and this inter-variation is called correlation.
- For example, if you want to study the relationship between height and weight - whether the change in one will bring a change in other or not. Or if you want to find the relationship between hours of study and achievement, sex and enrolment, etc., you can do so by finding a correlation between them.
- The degree of association or the degree of relationship between two variables is measured quantitatively in the form of an index which is termed as co-efficient of correlation.
- The coefficient of correlation is a single number that tells us to what extent the two variables are related and to what extent the variations in one variable changes with the variations in the other.
Hence, we conclude that the above statement is about the Correlation coefficient.