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If there is no correlation r is equal to?

0, within statistical error.


What does r value represent?

The r value, or correlation coefficient, quantifies the strength and direction of a linear relationship between two variables. Its value ranges from -1 to 1, where -1 indicates a perfect negative correlation, 1 indicates a perfect positive correlation, and 0 signifies no correlation. A higher absolute value of r indicates a stronger relationship, while the sign indicates the nature of the relationship.


How do you find the r value of a r square value?

To find the Pearson correlation coefficient (r) from the R-squared (R²) value, you simply take the square root of R². If R² is positive, r is the positive square root of R²; if R² is negative (which is not possible since R² ranges from 0 to 1), r would be negative. Thus, the formula is r = ±√R², where the sign depends on the direction of the relationship (positive or negative correlation).


If coefficient of correlation r between two variables is zero does it mean that there is no relationship between the variables Justify your answer?

"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".


What is the acceptable range of correlation coefficient?

The correlation coefficient, typically denoted as "r," ranges from -1 to +1. A value of +1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation. Generally, values between 0.1 and 0.3 suggest a weak correlation, 0.3 to 0.5 indicate a moderate correlation, and above 0.5 show a strong correlation. The interpretation may vary depending on the context and the specific fields of study.