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

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

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 9PPS

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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

Definition Definition Statistical measure used to assess the strength and direction of relationships between two variables. Correlation coefficients range between -1 and 1. A coefficient value of 0 indicates that there is no relationship between the variables, whereas a -1 or 1 indicates that there is a perfect negative or positive correlation.

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.