# What Is The Strongest Correlation Coefficient

## What Is The Strongest Correlation Coefficient?

Correlation coefficients range from -1 to 1 with the strongest correlations being closer to -1 or 1. A correlation of 0 indicates no relationship between two variables.

## Is a correlation coefficient of .75 strong?

The absolute value of the correlation coefficient gives us the relationship strength. The larger the number the stronger the relationship. For example |-.75| = .75 which has a stronger relationship than .65.

## Is 0.68 A strong correlation?

Labeling systems exist to roughly categorizer values where correlation coefficients (in absolute value) which are < 0.35 are generally considered to represent low or weak correlations 0.36 to 0.67 modest or moderate correlations and 0.68 to 1.0 strong or high correlations with r coefficients > 0.90 very high …

## Is 2.52 A strong correlation coefficient?

Positive correlation implies that the line that the data clusters about has positive slope and negative correlation implies that the line of fit has a negative slope. The closer that r is to 0 the weaker the correlation….

Is 2.52 A strong correlation coefficient?
0.73 2.86
0.87 3.64
0.25 2.52
1.31 10.27
0.68 3.15

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## Is 1.5 A strong correlation coefficient?

You can not get a correlation of 1.5. A value of -1.00 would be a perfect (very strong) negative correlation a value of +1.00 would be a perfect (very strong) positive correlation and a value of 0.00 would be a (very weak) zero or neutral correlation.

## Is 0.4 A strong correlation?

The sign of the correlation coefficient indicates the direction of the relationship. … 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.

## Is 0.5 A strong correlation?

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.

## Is 0.9 A strong 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.

## Is .00 a strong correlation?

In other words the values cannot exceed 1.0 or be less than -1.0. A correlation of -1.0 indicates a perfect negative correlation and a correlation of 1.0 indicates a perfect positive correlation. If the correlation coefficient is greater than zero it is a positive relationship.

## Is .56 a strong correlation?

56 between taps and time is that it’s large. But there is another way of interpreting the correlation coefficient.

## Is 0.46 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. Values between 0.3 and 0.7 (0.3 and −0.7) indicate a moderate positive (negative) linear relationship through a fuzzy-firm linear rule.

## Which of the following is the strongest correlation?

-0.87

The values of the correlation coefficient between -0.5 to -1.0 are considered as the strong correlation coefficients. Hence -0.87 is the strongest correlation coefficient value among the given values.

## What is Karl Pearson coefficient of correlation?

Karl Pearson’s coefficient of correlation is defined as a linear correlation coefficient that falls in the value range of -1 to +1. Value of -1 signifies strong negative correlation while +1 indicates strong positive correlation.

## Is r =- 0.89 A strong correlation?

A strong and positive correlation r = 0.89 between log-unadjusted mean ovarian volumes and mean NGF populations given by the Wallace-Kelsey model .

## Is 1.3 A strong correlation coefficient?

Values between 0.3 and 0.7 (-0.3 and -0.7) indicate a moderate positive (negative) linear relationship via a fuzzy-firm linear rule. Values between 0.7 and 1.0 (-0.7 and -1.0) indicate a strong positive (negative) linear relationship via a firm linear rule.

## What does a correlation of .30 mean?

As such we can interpret the correlation coefficient as representing an effect size. It tells us the strength of the relationship between the two variables. … 30 is considered a moderate correlation and a correlation coefficient of . 50 or larger is thought to represent a strong or large correlation.

## Is 0.43 A strong correlation?

Generally a value of r greater than 0.7 is considered a strong correlation. Anything between 0.5 and 0.7 is a moderate correlation and anything less than 0.4 is considered a weak or no correlation.

## Is .2 a strong correlation coefficient?

Values at or close to zero imply a weak or no linear relationship. Correlation coefficient values less than +0.8 or greater than -0.8 are not considered significant.

## Is strong or weak correlation?

The Correlation Coefficient

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When the r value is closer to +1 or -1 it indicates that there is a stronger linear relationship between the two variables. A correlation of -0.97 is a strong negative correlation while a correlation of 0.10 would be a weak positive correlation.

## What does a correlation coefficient of 0.70 infer?

What does a coefficient of correlation of 0.70 infer? … 05 level of significance to test whether or not the population correlation is zero.

## Is correlation coefficient R or R Squared?

Coefficient of correlation is “R” value which is given in the summary table in the Regression output. R square is also called coefficient of determination. Multiply R times R to get the R square value. In other words Coefficient of Determination is the square of Coefficeint of Correlation.

## Is 0.15 A strong correlation?

To say that a correlation of 0.15 or any other “small size” effect is “weak” or has to be non significant is not correct. … Therefore in many biological and medical studies a correlation of 0.15 is not considered weak or non important.

## Is 0.6 A strong correlation?

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

## Is 0.01 A strong correlation?

Correlation is significant at the 0.01 level (2-tailed). (This means the value will be considered significant if is between 0.001 to 0 010 See 2nd example below). … (This means the value will be considered significant if is between 0.010 to 0 050).

## What is weak correlation?

A weak correlation means that as one variable increases or decreases there is a lower likelihood of there being a relationship with the second variable. … If the cloud is very flat or vertical there is a weak correlation.

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## What is a high correlation?

Correlation is a term that refers to the strength of a relationship between two variables where a strong or high correlation means that two or more variables have a strong relationship with each other while a weak or low correlation means that the variables are hardly related.

## Can a correlation be over 1?

All Answers (10) Correlation coefficient cannot be greater than 1. As a matter of fact it cannot also be less than -1. So your answer must lie between -1 and +1.

## What does a correlation of 0.15 mean?

Figure (a) shows a correlation of nearly +1 Figure (b) shows a correlation of –0.50 Figure (c) shows a correlation of +0.85 and Figure (d) shows a correlation of +0.15. … A correlation of –1 means the data are lined up in a perfect straight line the strongest negative linear relationship you can get.

## Is 0.3 A strong correlation?

For a natural/social/economics science student a correlation coefficient higher than 0.6 is enough. Correlation coefficient values below 0.3 are considered to be weak 0.3-0.7 are moderate >0.7 are strong. You also have to compute the statistical significance of the correlation.

## What correlation coefficient means?

The correlation coefficient is the specific measure that quantifies the strength of the linear relationship between two variables in a correlation analysis. The coefficient is what we symbolize with the r in a correlation report.

## Is .40 a strong correlation?

40 which is certainly larger than the . 08 from the U.S. study but it’s far from the near-perfect correlation conventional wisdom and warning labels would imply.

## Which correlation is the strongest in research?

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. A positive correlation means that if one variable gets bigger the other variable tends to get bigger.

## Which of the following values indicates the strongest correlation?

0.92

A) 0.92 represents the strongest correlation. A correlation value r will always be between -1 and 1.

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

(a) -0.15 represents the weakest correlation.

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