Question: Which Value Of R Indicates A Stronger Correlation?

Which value of the coefficient of correlation r indicates a stronger correlation than?

The Correlation Coefficient 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..

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

1 Expert Answer. A) 0.92 represents the strongest correlation. A correlation value r will always be between -1 and 1. The sign (+ or -) represents the direction, while the numerical value represents the strength of the relationship between the two variables.

How do you interpret an R?

To interpret its value, see which of the following values your correlation r is closest to:Exactly –1. A perfect downhill (negative) linear relationship.–0.70. A strong downhill (negative) linear relationship.–0.50. A moderate downhill (negative) relationship.–0.30. … No linear relationship.+0.30. … +0.50. … +0.70.More items…

Which of the following is the strongest correlation?

AnswersThe strongest correlation is -0.8. … The weakest correlation is +0.1.This is a negative correlation. … This is a positive correlation: both variables are moving in the same direction. … Positive correlation – they are both moving in the same direction. … Trick question!

What does a correlation of 0.25 mean?

Generally yes, a correlation of 0.25 is considered substantial (not necessarily high) depending on what you are looking at. I’ve also seen 0.3 as a cut-off point but we learned that a corr of 0.2 or higher already hints at a low positive correlation.

Why is Pearson’s correlation used?

Pearson’s correlation is utilized when you have two quantitative variables and you wish to see if there is a linear relationship between those variables. Your research hypothesis would represent that by stating that one score affects the other in a certain way. The correlation is affected by the size and sign of the r.

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.

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.

Which scatterplot has a correlation closest to r =- 1?

Answer: The scatter diagram that contains the correlation coefficient closest to r = 1 is the first one shown in the attached images. Therefore, to answer this question, one must search among the attached images for the dispersion diagram in which the points resemble a straight line with a positive slope.

What does R value mean correlation?

The main result of a correlation is called the correlation coefficient (or “r”). It ranges from -1.0 to +1.0. The closer r is to +1 or -1, the more closely the two variables are related. If r is close to 0, it means there is no relationship between the variables.

How do you know if a correlation is strong or weak?

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

Which example illustrates a correlation?

The example of ice cream and crime rates is a positive correlation because both variables increase when temperatures are warmer. Other examples of positive correlations are the relationship between an individual’s height and weight or the relationship between a person’s age and number of wrinkles.

What R value is significant?

If r< negative critical value or r> positive critical value, then r is significant. Since r=0.801 and 0.801>0.632, r is significant and the line may be used for prediction. If you view this example on a number line, it will help you.

What does R 2 tell you?

R-squared is a statistical measure of how close the data are to the fitted regression line. It is also known as the coefficient of determination, or the coefficient of multiple determination for multiple regression. … 100% indicates that the model explains all the variability of the response data around its mean.

What does an r2 value of 0.9 mean?

The R-squared value, denoted by R 2, is the square of the correlation. It measures the proportion of variation in the dependent variable that can be attributed to the independent variable. The R-squared value R 2 is always between 0 and 1 inclusive. … Correlation r = 0.9; R=squared = 0.81.

Is a correlation of 0.5 strong?

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.

What does a 0.4 correlation mean?

This represents a very high correlation in the data. … 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.

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.