Which of the following 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.

What indicates the weakest correlation?

The correlation between two variables is considered to be weak if the absolute value of r is between 0.25 and 0.5.

What is a weak positive relationship?

Positive correlation is measured on a 0.1 to 1.0 scale. Weak positive correlation would be in the range of 0.1 to 0.3, moderate positive correlation from 0.3 to 0.5, and strong positive correlation from 0.5 to 1.0. The stronger the positive correlation, the more likely the stocks are to move in the same direction.

How can you tell if a relationship is weak or strong?

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.

Which of the following indicates the strongest relationship?

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.

12 Early Signs A Relationship Won't Last

Which of the following is the weakest correlation quizlet?

Answer and Explanation: (a) -0.15 represents the weakest correlation. The sign of the correlation just indicates the type of relationship that exists between the two...

Which of the following indicates the strongest relationship between variables 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 of the following correlation coefficients indicates the weakest linear relationship between two variables?

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.

Is 0.4 A strong correlation?

For this kind of data, we generally consider correlations above 0.4 to be relatively strong; correlations between 0.2 and 0.4 are moderate, and those below 0.2 are considered weak. When we are studying things that are more easily countable, we expect higher correlations.

Is 0.5 A strong correlation?

Correlation coefficients whose magnitude are between 0.5 and 0.7 indicate variables which can be considered moderately correlated. Correlation coefficients whose magnitude are between 0.3 and 0.5 indicate variables which have a low correlation.

Is 0.3 A weak correlation?

Values between 0 and 0.3 (0 and −0.3) indicate a weak positive (negative) linear relationship through a shaky linear rule.

Is 0.2 A weak correlation?

The magnitude of the correlation coefficient indicates the strength of the association. For example, a correlation of r = 0.9 suggests a strong, positive association between two variables, whereas a correlation of r = -0.2 suggest a weak, negative association.

What is a weak correlation number?

Weak - association. -0.4 to -0.6. Moderate - association. -0.6 to -0.8. Strong - association.

Is a negative correlation weak?

A negative correlation can indicate a strong relationship or a weak relationship. Many people think that a correlation of –1 indicates no relationship. But the opposite is true. A correlation of -1 indicates a near-perfect relationship along a straight line, which is the strongest relationship possible.

Which correlation coefficient represents the weakest relationship 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 .

Is 0.6 a weak positive correlation?

Correlation Coefficient = 0.8: A fairly strong positive relationship. Correlation Coefficient = 0.6: A moderate positive relationship.

Is 0.16 A strong correlation?

For example, the correlation between college grades and job performance has been shown to be about r = 0.16. This is fairly low, but it's large enough that it's something a company would at least look at during an interview process.

What does a correlation of 0.7 mean?

This is interpreted as follows: a correlation value of 0.7 between two variables would indicate that a significant and positive relationship exists between the two.

What does a correlation of 0.48 mean?

The next diagram (below) shows a correlation of about 0.48. This is just a little higher than the correlation between income and education is in the United States. That means that, on average, people with more education make more money. The next diagram shows a much stronger correlation (r = 0.72).

Which of the following coefficients indicates the strongest 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.

What is the range of correlation coefficient explain strong moderate and weak relationship?

If we wish to label the strength of the association, for absolute values of r, 0-0.19 is regarded as very weak, 0.2-0.39 as weak, 0.40-0.59 as moderate, 0.6-0.79 as strong and 0.8-1 as very strong correlation, but these are rather arbitrary limits, and the context of the results should be considered.

Which value of R indicates a stronger correlation?

Which value of r indicates a stronger​ correlation: r = 0.807 or r = -0.856​? Explain your reasoning. r = -0.856 represents a stronger correlation because |-0.856| > |0.807|.

Which R value suggests a weak positive correlation?

For example, a correlation of -0.97 is a strong negative correlation, whereas a correlation of 0.10 indicates a weak positive correlation.

Which one of the following correlation coefficients indicates the strongest relationship quizlet?

A correlation coefficient is a number between 0 and 1. The closer to 1, the stronger the relationship is (the more predictive it is). Conversely, the closer the number is to 0, the weaker it is.

What would a correlation of 0.70 be considered?

A moderate uphill (positive) relationship. +0.70. A strong uphill (positive) linear relationship.