When two continuous variables are compared to each other in order to gain a correlation coefficient, the appropriate formula isSpearman’s RhoThe Phi CoefficientPearson’s Product MomentNone of the above

Correlation : Correlation is defined as a relationship between X and Y, Where X is the independent…

Answered: When two continuous variables are…

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

Related questions

Question

When two continuous variables are compared to each other in order to gain a correlation coefficient, the appropriate formula is
1. Spearman’s Rho
2. The Phi Coefficient
3. Pearson’s Product Moment
4. None of the above

Expert Solution

Step 1

Correlation :

Correlation is defined as a relationship between X and Y, Where X is the independent variable and Y is the dependent variable in a regression term. Correlation is used to identify the relationship between two variables ( Positive Or Negative ). It is denoted as r.
The range of the correlation coefficient is (-1 to 1).
When the r = 1, it is a perfect positive correlation.
When the r = -1, it is a perfect Negative correlation.
When the r = 0, it is a no correlation.