0
Correlation only establishes the fact that the two variables in question change together - either one increases as the other decreases or they both increase together. It is possible that changes in the first cause changes in the second, or that changes in the second cause changes in the first, or that there is some third variable that is causing changes in both.
For example, consider an infant and measure its height and vocabulary from age 2 to age 8. In normal circumstances these two variables (height and number of words he or she knows) increase together. But that does not mean that either of these factors causes the other. The obvious culprit here is time or age. Another possible, but less important factor may be nutrition. Whatever! The main point is greater height does not increase the child's vocabulary not does an increased vocabulary increase its height.
What else can I help you with?
Which correlation coefficient indicates the weakest relationship between variables?
Pearson's Product Moment Correlation Coefficient indicates how strong the relationship between variables is. A PMCC of zero or very close would mean a very weak correlation. A PMCC of around 1 means a strong correlation.
Is the coefficient of correlation a useful measure of the linear relationship between two variables true or false?
True
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.
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).
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 is the correlation diagram showing the relationship between the variables in this dataset?
A correlation diagram visually represents the relationship between variables in a dataset. It shows how strongly and in what direction variables are related to each other.
What is a zero correlation?
a zero correlation means that there is no relationship between the two or more variables.
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.
Define correlation coefficients?
Correlation coefficients measure the strength and direction of a relationship between two variables. They range from -1 to 1: a value of 1 indicates a perfect positive correlation, -1 indicates a perfect negative correlation, and 0 indicates no correlation. They are commonly used in statistics to quantify the relationship between variables.
A correlation is a numerical measure of the?
relationship between 2 variables
What is the relationship between two variables also known as?
A correlation
A relationship between two or more variables that is shown in an observational study is a?
Correlation-apex (;
What Is a statistic that measures the strength of the relationship between two variables?
correlation
What is a relationship between two variables or sets of data is called what?
Correlation
What are the relationships of a graph?
I think you're referring to Correlation. This means the relationship between two variables. There can be a positive correlation, where as one variable increases, so does the other. There can be a negative correlation, where as one variable increases, the other decreases. Lastly, there can be no correlation, where there is no relationship between the two variables.
When a n experiment shows that two variables are closely related the experiment shows?
that there is a strong correlation between the two variables. This means that as one variable changes, the other variable is likely to change in a consistent way. This correlation can suggest a cause-and-effect relationship between the variables, but further research is needed to establish causation.
