The relationship between more than two variables is called ______.

simple correlation

No worries! We‘ve got your back. Try BYJU‘S free classes today!

multiple correlation

Right on! Give the BNAT exam to get a 100% scholarship for BYJUS courses

linear correlation

No worries! We‘ve got your back. Try BYJU‘S free classes today!

non-linear correlation

No worries! We‘ve got your back. Try BYJU‘S free classes today!

Open in App

Solution

The correct option is C multiple correlation
Multiple correlation refers to the strength of the association between the independent variables and one dependent variable, i.e. relationship between more than two variables.

Suggest Corrections

Similar questions

Q. The linear relationship between two variables is called

Q. What are the assumptions of correlation co-efficient?
I. There is non-linear relationship between two variables.
II. The two variables have cause and effect relationship.
III. Each variable is affected by a large number of independent causes.
IV. If the error is reduced to minimum, the co-efficient of correlation is more reliable.

Q. When there is no visible relationship between the two variables, the correlation is called

Q. What is the value of r when there is no linear correlation between two variables?

Identify the correct statement(s) about the correlation between two variables.

Statement 1: Correlation does not show that there is a causal relationship between two variables
Statement 2: Correlation shows the degree to which variations in one variable explain the variation of the second variable

Join BYJU'S Learning Program

The relationship between more than two variables is called ______.

The correct option is C multiple correlationMultiple correlation refers to the strength of the association between the independent variables and one dependent variable, i.e. relationship between more than two variables.

The correct option is C multiple correlation
Multiple correlation refers to the strength of the association between the independent variables and one dependent variable, i.e. relationship between more than two variables.