It can be. But equally, a scatterplot that looks really random can be used to show the absence of a relationship between two variables.
The answer requires the relevant context to be given.
For an object in motion without any acceleration, velocity and time.
One variable is a multiple of the other. One context would be the cost of buying tins of baked beans - with no discount for large purchases. In the cost of one tin is x units then the cost of b tins will by b*x units.
Correlation can only show that one variable increases linearly as another increases or decreases. It cannot show non-linear relationships. There can, therefore, be a perfect non-linear relationship and the correlation coefficient can be zero. For example y = x2 in the range (-a, a) for any positive number a, Second, correlation cannot determine whether A causes B or B causes A. There is probably a good correlation between my age over the last 10 years and the number of white hairs on my head. However, I do not think that white hairs caused me to GROW older (I may look older, but that is another matter entirely). Furthermore, when there are two correlated variable, there may not be any causal relationship between the two variables but there may be a third variable that causes both. There is a fairly good correlation between my age and the number of cars in the UK. My growing old did not increase the number of cars and the number of cars did not make me grow old. So there is no causal relation between them. Instead, both are correlated to time.
Line graph is used to show relationship between two variables.
A function.
you cant because variables cant go ou its agaist the rules
Any graph.
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It can be. But equally, a scatterplot that looks really random can be used to show the absence of a relationship between two variables.
A bar graph form the best, ME!
Usually all they do is show the values of two continuous variables for a set of values. There may or may not be a relationship between the two variables. If there is, it may or may not be a causal relationship. It does not have to be a linear relationship or even a relationship that maintains its characteristic.
Sociologists often use scatter plots to visually represent the relationship between two variables. This graphical tool helps quickly identify patterns and trends in the data, showing the strength and direction of the relationship between the variables.
It is usually used to show a relationship between two variables when the independent variable is continuous.
the relationship between two variables
Line Graph