# Which of the following coefficients of correlation indicates the weakest relationship?

## Which of the following coefficients of correlation indicates the weakest relationship?

The weakest linear relationship is indicated by a correlation coefficient equal to 0. A positive correlation means that if one variable gets bigger, the other variable tends to get bigger. A negative correlation means that if one variable gets bigger, the other variable tends to get smaller.

## Which of the following values of r indicates the weakest relationship?

r is always a number between -1 and 1. r > 0 indicates a positive association. r < 0 indicates a negative association. Values of r near 0 indicate a very weak linear relationship.

Which correlation coefficients expresses the strongest degree of relationship between two variables?

Explanation: According to the rule of correlation coefficients, the strongest correlation is considered when the value is closest to +1 (positive correlation) or -1 (negative correlation). A positive correlation coefficient indicates that the value of one variable depends on the other variable directly.

### Which correlation coefficient represents the weakest relationship between two variables quizlet?

+0.10 is the weakest. Explain why a correlation coefficient of 0.00 or close to 0.00 may not mean that there is no relationship between the variables. a correlation coefficient of . 00 or close to .

### Which of the following correlation coefficients is weakest?

-0.15
(a) -0.15 represents the weakest correlation. The sign of the correlation just indicates the type of relationship that exists between the two variables, that is, whether an increase in one variable means an increase in the other variable (positive);

Is 0 A strong correlation?

The sign of the linear correlation coefficient indicates the direction of the linear relationship between x and y. When r (the correlation coefficient) is near 1 or −1, the linear relationship is strong; when it is near 0, the linear relationship is weak.

## Why is correlation less than 1?

The Correlation Coefficient cannot be greater then the absolute value of 1 because it is a measure of fit between two variables that are not affected by units of measurement. A correlation coefficient is a measure of how well the data points of a given set of data fall on a straight line.

## 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.

Which of the following correlation coefficients indicates the strongest relationship?

-1
The strongest linear relationship is indicated by a correlation coefficient of -1 or 1. The weakest linear relationship is indicated by a correlation coefficient equal to 0.

### What does a perfect positive correlation mean?

A perfectly positive correlation means that 100% of the time, the variables in question move together by the exact same percentage and direction. A positive correlation can be seen between the demand for a product and the product’s associated price.

### Is a weak correlation?

As a rule of thumb, a correlation coefficient between 0.25 and 0.5 is considered to be a “weak” correlation between two variables.

Which of the following is the correlation coefficient indicating the strongest relationship quizlet?

The correlation coefficient, often expressed as r, indicates a measure of the direction and strength of a relationship between two variables. When the r value is closer to +1 or -1, it indicates that there is a stronger linear relationship between the two variables.

## Which is the weakest relationship between two variables?

Which of the following correlation coefficients expresses the weakest degree of relationship between two variables? Nice work! You just studied 28 terms! Now up your study game with Learn mode. Which of the following correlation coefficients expresses the weakest degree of relationship between two variables?

## What does it mean when a correlation coefficient is greater than zero?

A linear correlation coefficient that is greater than zero indicates a positive relationship. A value that is less than zero signifies a negative relationship.

How is the strength of a correlation determined?

The strength that exists amongst the interrelation of two variables is measured with the help of correlation. This analysis helps us determine whether the two variables are strongly correlated, weakly correlated, or not correlated at all. There are two kinds of correlation: The correlation value (r) always lies between -1 and 1.

### What are some examples of positive correlation coefficients?

The closer the value of ρ is to +1, the stronger the linear relationship. For example, suppose the value of oil prices are directly related to the prices of airplane tickets, with a correlation coefficient of +0.8. The relationship between oil prices and airfares has a very strong positive correlation since the value is close to +1.