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What is a measure of strength and direction of the relationship between two variable or data sets?
Wiki User
∙ 10y ago
Correlation
Wiki User
∙ 10y ago
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The statement to verify the relationship between interleukin and fatigue and dependent variable or independent variable?
Independent Variable: interleukin and fatigue Dependent Variable: the relationship -----inferential statistics
What is relationship between x and y variable?
Often the x variable is the independent variable and the y variable depends on x.
As the independent variable increases the dependent variable does what?
Depends on the relationship between the independent and dependent variables.
What graph indicates that there is a linear relationship between the dependent variable and the independent variable.?
A straight line which is not vertical.
What is meant by p value?
the p-value is used in statistics. It shows how strong the relationship between the variable are. Normally it is between -1 and 1. The closer it is to one the stronger the relationship is. the p-value is used in statistics. It shows how strong the relationship between the variable are. Normally it is between -1 and 1. The closer it is to one the stronger the relationship is.
How many types of correlation?
There are 3 types1.positive/ negative/zero/2.linear/non-linear3.simple/multiple/partial- If the direction is same,the relationship is positive-If the direction is opposite , the relationship is negative-If the amount of change is constant in different variable it is linear-If the amount of change is not constant in different variable is non- linear-If it is establishing a relationship between two characteristic then it is simple- If it is establishing a relationship between three or more characteristic then it is multiple-If it is establishing a relationship between only one of all the variable then it is partial
What is the difference between correlation analysis and?
Correlation analysis is a type of statistical analysis used to measure the strength of the relationship between two variables. It is used to determine whether there is a cause-and-effect relationship between two variables or if one of the variables is simply related to the other. It is usually expressed as a correlation coefficient a number between -1 and 1. A positive correlation coefficient means that the variables move in the same direction while a negative correlation coefficient means they move in opposite directions.Regression analysis is a type of statistical analysis used to predict the value of one variable based on the value of another. This type of analysis is used to determine the relationship between two or more variables and to determine the direction strength and form of the relationship. Regression analysis is useful for predicting future values of the dependent variable given a set of independent variables.Correlation Analysis is used to measure the strength of the relationship between two variables.Regression Analysis is used to predict the value of one variable based on the value of another.
Relationship between flux density and field strength?
In simple terms, if flux density increases, then field strength increases and vice versa. The flux density is equivalent to field strength times with a variable.
What is the relationship between grain size and strength in metal?
the relationship between grain size and strength can be determined by the Hall- Patch relationship of Strength of materials.
What is the best description of an association?
An association is a relationship between two or more variables where they co-occur or change together. It measures the strength and direction of the relationship between variables, indicating how one variable is affected by changes in another. Associations can be positive, negative, or neutral.
What does correlation tell us?
Correlation is a statistical technique that is used to measure and describe the strength and direction of the relationship between two variables.
Relationship between manipulated variable and responding variable?
direct proportion
Is there a relationship between the independent variable and the dependent variable?
inferential statistics
What is the relationship between a manipulated variable and a responding variable?
cause a change
What is mediator in experiments?
The mediator variable explains the relationship between the independent variable and the dependent variable.
The statement to verify the relationship between interleukin and fatigue and dependent variable or independent variable?
Independent Variable: interleukin and fatigue Dependent Variable: the relationship -----inferential statistics
What is mediate experience in psychology?
The mediator variable explains the relationship between the independent variable and the dependent variable.
