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∙ 12y agocofficient of rank correlation
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∙ 12y agoI've included links to both these terms. Definitions from these links are given below. Correlation and regression are frequently misunderstood terms. Correlation suggests or indicates that a linear relationship may exist between two random variables, but does not indicate whether X causes Yor Y causes X. In regression, we make the assumption that X as the independent variable can be related to Y, the dependent variable and that an equation of this relationship is useful. Definitions from Wikipedia: In probability theory and statistics, correlation (often measured as a correlation coefficient) indicates the strength and direction of a linear relationship between two random variables. In statistics, regression analysis refers to techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (also called a response variable) and of one or more independent variables (also known as explanatory variables or predictors). The dependent variable in the regression equation is modeled as a function of the independent variables, corresponding parameters ("constants"), and an error term. The error term is treated as a random variable. It represents unexplained variation in the dependent variable. The parameters are estimated so as to give a "best fit" of the data. Most commonly the best fit is evaluated by using the least squares method, but other criteria have also been used.
the substitution method in which you take each variable and you find out the value and then plug it into the original equation.the adding and subtracting method in which you subtract\add equations to take out a variable and you can figure out what the other variable is. then you also substitute that into that into the original variable
it is important because it is the variable that will never change you dependent variable changes due to your independent variables value
hi i have ask which of the following is not a method enumeration
It is the measure of central tendency.
No a correlation method does not prove any kind of cause the only method that will prove Cause and Effect would be a Experiment Lab(hypothesis, Control group, Independent Variable ext...)
unlimited time constraints
Correlation Research Method, a statistical measure of a relationship between two or more variables, gives an indication of how one variable may predict another.
To measure a variable, you need to first define what you are trying to measure and then select an appropriate method or instrument to quantify it. This could involve using tools such as surveys, scales, observations, or sensors depending on the nature of the variable. Ensure that the measurement process is reliable, valid, and consistent to obtain accurate results.
what are the variable
It is called a local variable since it only exists inside the method.
We can calculate using following methods 1 - High-Low method 2 - Regression analysis method 3 - Graphical method
The variable affected by the independent variable in the scientific method is the dependent variable. This is the variable being measured or observed in an experiment, and its outcome is influenced by changes in the independent variable.
The variable that the experimenter changes or manipulates in an experimental method is called the independent variable. It is the variable that is intentionally altered to observe its effect on the dependent variable.
Correlational research method is a type of study that looks at the relationship between two or more variables in order to determine if and how they are related. It involves measuring the variables as they naturally occur without manipulating them. Correlational studies can provide valuable insights into potential relationships between variables but cannot establish causation.
The advantage of the correlational research method is the ability to prove a positive or negative correlation between two subjects . The disadvantage of this is the unclear interpreation of cause and affect. moletsane
a method is a variable