Line graph is used to show relationship between two variables.
A function.
you cant because variables cant go ou its agaist the rules
A bar graph form the best, ME!
A scatterplot, if the relationship is inexact - like height and weight. A line graph for exact relationships. An equation or function may be used for exact relationships.
A good way to show a relationship between variables is to use a scatter plot, which visually represents data points on a two-dimensional graph. This allows you to observe patterns, trends, and correlations between the variables. Additionally, incorporating a trend line can help clarify the relationship's direction and strength. For more complex relationships, using statistical methods like regression analysis can provide deeper insights.
A function.
It can be. But equally, a scatterplot that looks really random can be used to show the absence of a relationship between two variables.
It is usually used to show a relationship between two variables when the independent variable is continuous.
The suvat equations used to describe motion show the relationship between the variables of displacement (s), initial velocity (u), final velocity (v), acceleration (a), and time (t). These variables are interconnected and can be used to calculate different aspects of an object's motion.
you cant because variables cant go ou its agaist the rules
line graph
a two coordinate graph can be used to show the relationship between two variables.
A controlled experiment can be used to show a cause and effect relationship. ex: an experiment studying the effect of a certain medicine on patients.
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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.