Q: When the data points on a graph are scattered with no clear pattern there is between the two variables?

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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 solution of a linear equation in two variable comprises the coordinates of all points on the straight line represented by the equation.

The distance between the points of (4, 3) and (0, 3) is 4 units

(3-1)2 + (5-8)2 = 13 and the square root of this is the distance between the points

Related questions

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.

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.

"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.

A linear pattern is a consistent increase or decrease in values that can be represented by a straight line when plotted on a graph. In a linear pattern, there is a constant rate of change between each data point. This means that the relationship between the variables can be described by a linear equation such as y = mx + b.