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Q: Which of the represents the highest correlation possible between two variables?
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Related questions

What is the strongest a correlation could be?

Either +1 (strongest possible positive correlation between the variables) or -1 (strongest possible negativecorrelation between the variables).


What correlation coefficients represents a situation in which there is no relationship between variables?

We would need to have the list of correlation coefficients to respond to this question.


What does Correlation of plus 1.00 mean?

It mean that there is no correlation between the two variables. The variables are the same.


What is multiple correlation coefficient and partial correlation coefficient?

partial correlation is the relation between two variable after controlling for other variables and multiple correlation is correlation between dependent and group of independent variables.


What does it mean when two variables have a positive correlation?

A positive correlation between two variables means that there is a direct correlation between the variables. As one variable increases, the other variable will also increase.


If coefficient of correlation r between two variables is zero does it mean that there is no relationship between the variables Justify your answer?

"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".


What are the possible ranges of correlation coefficients?

The possible range of correlation coefficients depends on the type of correlation being measured. Here are the types for the most common correlation coefficients: Pearson Correlation Coefficient (r) Spearman's Rank Correlation Coefficient (ρ) Kendall's Rank Correlation Coefficient (τ) All of these correlation coefficients ranges from -1 to +1. In all the three cases, -1 represents negative correlation, 0 represents no correlation, and +1 represents positive correlation. It's important to note that correlation coefficients only measure the strength and direction of a linear relationship between variables. They do not capture non-linear relationships or establish causation. For better understanding of correlation analysis, you can get professional help from online platforms like SPSS-Tutor, Silverlake Consult, etc.


What is positive Correlation?

Positive correlation is a relationship between two variables in which both variables move in tandem that is in the same direction.


When do you use a scatterplot?

Scatter plots are used to investigate a possible correlation between two variables that are associated with the same “event.”


What are the three conditions necessary for causation between variables?

The three conditions necessary for causation between variables are covariance (relationship between variables), temporal precedence (the cause must precede the effect in time), and elimination of plausible alternative explanations (other possible causes are ruled out).


What is a zero correlation?

a zero correlation means that there is no relationship between the two or more variables.


When two variables are correlated there are four possible explanations of the correlation What are they?

a. The correlation between X and Y is spurious b. X is the cause of Y c. Y is the cause of X d. A third variable is the cause of the correlation between X and Y