There are many terms used for the purpose: slope, gradient, relationship, regression, correlation, error, scatter; as well as phrases: line of best fit, least squares, maximum likelihood.
The question needs to be more specific.
You can describe it using words or in graph form.
A scatter diagram. A line diagram will not be as good at showing a relationship that is non-linear (not a straight line).
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
Constant variation is a relationship between two variables where one is a fixed multiple of the other. The graph of such a relationship is a straight line through the origin.
Line graph is used to show relationship between two variables.
You can describe it using words or in graph form.
By definition, if you graph the relationship between two variables and the result is a straight line (of whatever slope) that is a linear relationship. If it is a curve, rather than a straight line, then it is not linear.
It is a straight line equation with no x or y intercepts on the Cartesian plane
The trend line for a scatter plot is a line that best captures the nature of the relationship between two variables. It may or may not be straight. The trend line for a scatter plot is a line that best captures the nature of the relationship between two variables. It may or may not be straight. The trend line for a scatter plot is a line that best captures the nature of the relationship between two variables. It may or may not be straight. The trend line for a scatter plot is a line that best captures the nature of the relationship between two variables. It may or may not be straight.
A line on a graph that compares two variables, temperature for example tells us a great deal about the relationship of these variables in the experimental system. When the line is straight it reflects a direct and proportional relationship between the two factors.
A scatter diagram. A line diagram will not be as good at showing a relationship that is non-linear (not a straight line).
There are no relations between different variables. If you want to enable a relationship between variables, you must write the code to implement that relationship. Encapsulating the variables within a class is the most obvious way of defining a relationship between variables.
The strength of the relationship between 2 variables. Ex. -.78
the relationship between two 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".
The advantage is being given a straight answer, but in a graph it doesn't give you a straight answer, because there is a possibility of data being in between the plotted points.
Constant variation is a relationship between two variables where one is a fixed multiple of the other. The graph of such a relationship is a straight line through the origin.