Some people will give the answer "correlation". But that is not correct for the following reason:
Consider the coordinates of a circle. There is obviously a very strong relationship between the x coordinate and the y coordinate. The correlation between the two is not just small, but 0.
The correlation between two variables is a measure of the linear relationship between them. But there can be non-linear relationships which will not necessarily be reflected by any correlation.
so you know the relationship between the 2 variables
Correlation * * * * * That is simply not true. Consider the coordinates of a circle. There is obviously a very strong relationship between the x coordinate and the y coordinate. But the correlation is not just small, but 0. The correlation between two variables is a measure of the linear relationship between them. But there can be non-linear relationships which will not necessarily be reflected by any correlation.
Line graph
Viewing the data is an easy way to see some of their characteristics such as trends, seasonality, outliers, relationship between variables (linear, quadratic, power etc).
A measure of association. You might be thinking of the correlation coefficient in particular.
Correlation
A diagram that shows how two variables are related is called a "scatter plot." It is a visual representation of the relationship between the two variables, often used to identify patterns or trends in the data.
graph is a quick picture of relationship between two variables
The intersection of the two lines of best fit in a data set indicates the point where the predicted values of the variables are equal. This suggests that there is a common value or relationship between the variables at that specific point.
A scatter plot.
so you know the relationship between the 2 variables
Correlation * * * * * That is simply not true. Consider the coordinates of a circle. There is obviously a very strong relationship between the x coordinate and the y coordinate. But the correlation is not just small, but 0. The correlation between two variables is a measure of the linear relationship between them. But there can be non-linear relationships which will not necessarily be reflected by any correlation.
The relationship between the variables r and z is important because it helps us understand how changes in one variable affect the other. By analyzing this relationship, we can gain insights into the underlying patterns and connections within the data.
Sociologists often use scatter plots to visually represent the relationship between two variables. This graphical tool helps quickly identify patterns and trends in the data, showing the strength and direction of the relationship between the variables.
The explanation of data is called a theory.
The relationship between variables z and v is important because it helps us understand how changes in one variable affect the other in this specific situation. By analyzing this relationship, we can gain insights into the underlying patterns and connections within the data.
Line Graph