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The steps are to find the y-axis (dependent variable) and the x-axis (independent variable), then make a scale for your variables on the graph.

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Q: Describe the steps you would take in making a graph to show the relationship between two related variables?
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Why was there a need to invent linear equation in two variables?

If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.


What does no trend mean?

Usually the expression is employed in the context of the relationship between a dependent variable and another variable. The latter may or may not be independent: often it is time but that is not necessary. In some cases there is some indication that that there is a linear relationship between the two variables and that relationship is referred to as a trend.Note that a trend is not the same as causation. There may appear to be a strong linear trend between two variables but the variables may not be directly related at all: they may both be related to a third variable. Also, the absence of linear trends does not imply that the variables are unrelated: there may be non-linear relationships.


What does a straight line tells you on a line graph?

It tells you that the two variables in the graph change together at the same rate. There may or may not be a causal relationship between the tw variables: both could be related to a third variable which is not part of the graph.


Why use correlation coefficient?

It tells you if there is a relationship between two variables in a set of data, and if so, what kind of relationship. The correlation coefficient, r, can be between -1 and 1. If r = 1, there is exact direct variation (when x goes up, y goes up; the relationship is represented by a line with a slope of 1) If r = -1, there is exact inverse variation (when x goes up, y goes down; the relationship is represented by a line with a slope of -1) If r = -1, the variables aren't related. If r = some other number between -1 and 1, the relationship is correspondingly stronger or weaker.


What is the meaning of zero correlation?

If variables have zero correlation, they do not have a linear relationship. Zero correlation shows that two things were not found to be related.

Related questions

Why was there a need to invent linear equation in two variables?

If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.


What is something that shows how variables are related?

relationship between hypotheses and theories


What is Validity that is related to the logical relationship between variables is known as?

construct validity


Steps to create a graph to show relationship between 2 related variables?

eta


What does a relationship between two correlated variables have?

Correlation between two variables implies a linear relationship between them. The existence of correlation implies no causal relationship: the two could be causally related to a third variable. For example, my age is correlated with the number of TV sets in the UK but obviously there is no causal link between them - they are both linked to time.


What does no trend mean?

Usually the expression is employed in the context of the relationship between a dependent variable and another variable. The latter may or may not be independent: often it is time but that is not necessary. In some cases there is some indication that that there is a linear relationship between the two variables and that relationship is referred to as a trend.Note that a trend is not the same as causation. There may appear to be a strong linear trend between two variables but the variables may not be directly related at all: they may both be related to a third variable. Also, the absence of linear trends does not imply that the variables are unrelated: there may be non-linear relationships.


What is the relationship between a hypothesis and a theory?

The relationship between theories, concepts, and hypothesis is that a theory is a model of how concepts are related, the concepts are categorical ideas that are represented by our variables and hypothesis are predictions of how concepts are related, often deduced from a theory.


What two variables is acceleration dependent on and what is the relationship between these variables and acceleration?

Acceleration is change of velocity per unit time. Acceleration =(v2 - v1)/t. It is also related to force and mass: F = ma.


What does a straight line tells you on a line graph?

It tells you that the two variables in the graph change together at the same rate. There may or may not be a causal relationship between the tw variables: both could be related to a third variable which is not part of the graph.


What is the relationship between climate and vegetation in central Asia?

Describe how climate is related to vegetation throughout East Asia


The relationship where 2 variables move in the same direction are called what?

A direct correlation, it appears as a straight line on a graph and occurs when variables are related as y=xk.


What is the relationship between independent and dependent variables?

Depends on the experiment - there may be no relationship. Typically proportional, inversly proportional, proportional to the log and similar are given in set experiments at schools. So a staight line going up and straingt line going down or a curve of some sort when drawn as a line graph.