no correalation
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.
Continuous variables have an unlimited number of possibilities between two points. In the scientific realm, age is a continuous variable.
I think you are going for continuous variable, as compared with discrete variables.
It is called the line of best fit
The points are increasing from left to right. They are scattered but they are increasing non the less.
No correlation. Answer provided by
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.
Positive correlation
It means that a certain set of points are all on the same line.
The height of the land, and the scale of the map
No, it is not possible to make accurate predictions based on a scatter plot with no correlation. A scatter plot with no correlation means that the data points are randomly scattered and do not follow any specific pattern or trend. Without a correlation, it is difficult to establish a relationship between the variables and make reliable predictions.
I think you are going for continuous variable, as compared with discrete variables.
Not linearly related.