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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.
Regression techniques are used to find the best relationship between two or more variables. Here, best is defined according to some statistical criteria. The regression line is the straight line or curve based on this relationship. The relationship need not be a straight line - it could be a curve. For example, the regression between many common variables in physics will follow the "inverse square law".
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).
The strength of the relationship between 2 variables. Ex. -.78
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 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.