Correlation is a statistical technique that is used to measure and describe a relationship between two variables.
- How do you describe the relationship between two variables?
- What is an example of a relationship between two variables?
- What is the relationship between two variables in research?
- What word means a relationship between two variables?
- What is the relationship between two sets of data called?
How do you describe the relationship between two variables?
A scatterplot shows the relationship between two quantitative variables measured for the same individuals. The values of one variable appear on the horizontal axis, and the values of the other variable appear on the vertical axis. Each individual in the data appears as a point on the graph.
What is an example of a relationship between two variables?
Examples are age, height, weight (i.e. things that are measured). One variable is categorical and the other is quantitative, for instance height and gender.
What is the relationship between two variables in research?
This relationship between the two variables is called a correlation. The amount of correlation, or relationship, can be explained in a numerical form called a correlation coefficient.
What word means a relationship between two variables?
The word correlation is used in everyday life to denote some form of association. We might say that we have noticed a correlation between foggy days and attacks of wheeziness. However, in statistical terms we use correlation to denote association between two quantitative variables.
What is the relationship between two sets of data called?
Correlation is used to describe how data sets are related to one another. Correlation can be seen when two sets of data are graphed on a scatter plot, which is a graph with an X and Y axis and dots representing the data points.