Table of Contents

## What is an acceptable coefficient of variation?

Basically CVgood, 10-20 is good, 20-30 is acceptable, and CV>30 is not acceptable.

## How do you tell if a correlation is strong or weak?

r > 0 indicates a positive association. r weak linear relationship. The strength of the linear relationship increases as r moves away from 0 toward -1 or 1.

## What does an R value of 0.7 mean?

The correlation coefficient, denoted by r, is a measure of the strength of the straight-line or linear relationship between two variables. Values between 0.7 and 1.0 (-0.7 and -1.0) indicate a strong positive (negative) linear relationship via a firm linear rule.

## Is .5 a strong correlation?

A correlation of –1 means the data are lined up in a perfect straight line, the strongest negative linear relationship you can get. Most statisticians like to see correlations beyond at least +0.5 or –0.5 before getting too excited about them.

## Is 0.25 A strong correlation?

The correlation between two variables is considered to be strong if the absolute value of r is greater than 0.75….What is Considered to Be a “Strong” Correlation?Absolute value of rStrength of relationship0.25 Weak relationship0.5 Moderate relationshipr > 0.75Strong relationship1 more row•

## What does a correlation of 1 mean?

A correlation of –1 indicates a perfect negative correlation, meaning that as one variable goes up, the other goes down. A correlation of +1 indicates a perfect positive correlation, meaning that both variables move in the same direction together.

## What is an example of zero correlation?

A zero correlation exists when there is no relationship between two variables. For example there is no relationship between the amount of tea drunk and level of intelligence.

## Can a correlation be greater than 1?

The correlation coefficient is a statistical measure of the strength of the relationship between the relative movements of two variables. The values range between -1.0 and 1.0. A calculated number greater than 1.0 or less than -1.0 means that there was an error in the correlation measurement.

## Can the covariance be greater than 1?

The covariance is similar to the correlation between two variables, however, they differ in the following ways: Correlation coefficients are standardized. Thus, a perfect linear relationship results in a coefficient of 1. Therefore, the covariance can range from negative infinity to positive infinity.

## Is there a correlation between 0 and 1?

CORRELATION COEFFICIENT BASICS 0 indicates no linear relationship. +1 indicates a perfect positive linear relationship – as one variable increases in its values, the other variable also increases in its values through an exact linear rule.