Which correlation coefficient represents the weakest relationship between two variables?

Which correlation coefficient represents the weakest relationship between two variables?

Strength – The weakest linear relationship is indicated by a correlation coefficient equal to 0 (actually this represents no correlation!).

Which of the following correlation coefficients 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 .

Which of the correlations is the weakest?

The Correlation Coefficient A correlation of -0.97 is a strong negative correlation while a correlation of 0.10 would be a weak positive correlation. A correlation of +0.10 is weaker than -0.74, and a correlation of -0.98 is stronger than +0.79.

What is a weak relationship in 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.

Which of the following correlation coefficients represents the strongest relationship between two variables quizlet?

Answer: -0.85 (Option d) is the strongest correlation coefficient which represents the strongest correlation as compared to others.

What does a negative correlation coefficient mean?

A negative correlation describes the extent to which two variables move in opposite directions. For example, for two variables, X and Y, an increase in X is associated with a decrease in Y. A negative correlation coefficient is also referred to as an inverse correlation.

Which of the following correlations is the weakest 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. A negative correlation means that if one variable gets bigger, the other variable tends to get smaller.

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 0.2 A weak correlation?

For example, a value of 0.2 shows there is a positive correlation between two variables, but it is weak and likely unimportant. However, a correlation coefficient with an absolute value of 0.9 or greater would represent a very strong relationship.

Is 0.5 A weak 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.

What does a correlation coefficient of 0.00 mean?

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 .00 may indicate no relationship or a weak relationship. However, if the relationship is curvilinear, the correlation coefficient could also be .00 or close to this.

Is the correlation coefficient representative of the strength of the relationship?

In this case, there is a relationship between the two variables, but because the relationship is curvilinear, the correlation coefficient does not truly represent the strength of the relationship Nice work! You just studied 7 terms!

Which is the strongest correlation between two factors?

Therefore among the four options given of -0.15, -0.8, 0.38, 0.03 the strongest relation between two factors is given by -0.8 but as the ‘-‘ sign indicates the two factors are negatively correlated. Negative correlation means that if one variable is high the other would be low.

Which is the best definition of negative correlation?

Negative correlation means that if one variable is high the other would be low. Positive correlation means that if one variable is high then the other variable is also high and if one variable is low then the other is also low. Did this page answer your question?