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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.
When a question asks you to state the relationship between the variables what does that mean?
When a question asks you to state the relationship between variables, it is requesting you to describe how the variables are related to each other. This could include whether they have a positive or negative correlation, whether one variable causes a change in the other, or if there is no relationship between the variables.
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
A diagram that tells how two variables are related is called what?
A diagram that shows how two variables are related is called a "scatter plot." It is a visual representation of the relationship between the two variables, often used to identify patterns or trends in the data.
What are the two things A correlation coefficient represents?
A correlation coefficient represents the strength and direction of the relationship between two variables. It measures how closely the two variables are related to each other.
When two variables are related but one does not cause the other researchers term the situation?
Researchers term the situation as correlation. Correlation indicates a statistical relationship between two variables, showing how they move together but not necessarily implying causation. The strength and direction of the correlation can provide insights into the relationship between the variables.
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 co relational research?
Correlational research is a type of non-experimental research design that examines the relationship between two or more variables without manipulating them. It seeks to determine if there is a statistical relationship between the variables, but does not imply causation. Correlational studies provide information about how variables are related and can help generate hypotheses for further research.
What is Situation-Relevant Confounding Variable?
A situation-relevant confounding variable is a third variable that is related to both the independent and dependent variables being studied, which can lead to a spurious relationship between them. It is crucial to identify and control for situation-relevant confounding variables in research to ensure that the true relationship between the variables of interest is accurately captured.
