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If coefficient of correlation r between two variables is zero does it mean that there is no relationship between the variables Justify your answer?
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
Used to show the relationship between two variables?
Line graph is used to show relationship between two variables.
A tentative descriptive statement of the relationship between the variables is called?
A tentative descriptive statement of the relationship between the variables is called hypothesis
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.
If doubling the manipulating variable results in a doubling of the responding variable the relationship between the variables is a?
This would indicate that there is a linear relationship between manipulating and responding variables.
Is helpful in determining whether there is a relationship between two variables?
it depends on who you are
What are the relations between the different variables?
There are no relations between different variables. If you want to enable a relationship between variables, you must write the code to implement that relationship. Encapsulating the variables within a class is the most obvious way of defining a relationship between variables.
What is the significance of the nexus number in determining the relationship between different variables in a statistical analysis?
The nexus number is important in statistical analysis because it helps to identify the strength and direction of the relationship between different variables. It indicates how much one variable changes when another variable changes by a certain amount. A higher nexus number suggests a stronger relationship between the variables, while a lower number indicates a weaker relationship. This information is crucial for understanding the connections between variables and making informed decisions based on the data.
If coefficient of correlation r between two variables is zero does it mean that there is no relationship between the variables Justify your answer?
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
What are the three conditions necessary for causation between variables?
The three conditions necessary for causation between variables are covariance (relationship between variables), temporal precedence (the cause must precede the effect in time), and elimination of plausible alternative explanations (other possible causes are ruled out).
Used to show the relationship between two variables?
Line graph is used to show relationship between two variables.
What type of graph shows a direct relationship between variables?
type the equation that shows the relationship between the variables in this chart.
What describes a relationship between several variables in an algebraic equation?
an algebraic equation that describes a relationship between several variables is called a?
A tentative descriptive statement of the relationship between the variables is called?
A tentative descriptive statement of the relationship between the variables is called hypothesis
What is the relationship between the variables in an experiment if you double the manipulated variables resulting in a doubling of the responding variables?
it is a direct relationship -eli martin
What information does and equation tell you?
the relationship between variables and/or variables and values
What does the line graph tell you about the relationship between the variables in an experiment?
What dose a line graph tell you about the relationship between the variables in an experiment
