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.
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.
When the data on the graph is continuous,it does make sense to connect the points on the graph of 2 related 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
Yes, it is possible to draw a trendline on a scatter plot that shows no association. In such cases, the trendline may be flat or have a very shallow slope, indicating that there is no significant relationship between the variables. However, the presence of a trendline does not imply a meaningful correlation; it merely represents a statistical fit to the data points, which may be scattered randomly without any discernible pattern.
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.
To determine the type of correlation shown in a scatter graph, you would typically look at the pattern of the plotted points. If the points trend upwards from left to right, it indicates a positive correlation. Conversely, if the points trend downwards, it suggests a negative correlation. If the points are scattered without any discernible pattern, it indicates little to no correlation.