No correlation.
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When the data on the graph is continuous,it does make sense to connect the points on the graph of 2 related variables.
The observed relationship indicates that the a one-to-one correspondence exists between the variables of interest. In effect, the value of the obtained r-value is -1 or 1.
The distance between the points of (4, 3) and (0, 3) is 4 units
The solution of a linear equation in two variable comprises the coordinates of all points on the straight line represented by the equation.
You divide the difference in y-coordinates by the difference in x-coordinates. Or whatever the variables are.
no correalation
You get a set of points that appear to be scattered randomly.
There is no such thing as a general pattern. Depending on the variables and the relationship between them, you can have points all over the plot, exactly on a straight line or a curve, or close to such a line or curve.
When the data on the graph is continuous,it does make sense to connect the points on the graph of 2 related variables.
The relationship between two variables is called a relation. A relation in which a set of input values maps onto a set of output values such that each input corresponds to at most one output is called a "function." Functions do not necessarily have to be lines; they do not even have to be exponential, or parabolic, or continuous. A bunch of scattered points or lines that meets the requirements can still be considered a function involving two variables.
"Player" is the independent variable, and "Points" is the dependent variable.
A linear pattern is a consistent and predictable change in a series of data points that can be represented by a straight line on a graph. It indicates a constant rate of change between the variables being studied.
Positive correlation
The height of the land, and the scale of the map
It means that a certain set of points are all on the same line.
Correlation is an estimate of a linear relationship between two variables and takes no account of non-linear relationship. If the relationship is quadratic and the domain is symmetric about some point, the correlation will be zero. It is, thus possible for the points on the scatter plot to lie exactly on a parabola while the calculated correlation is zero. In such a case, it is easy to make a prediction despite no correlation.
Not linearly related.