cofficient of rank correlation
I'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
It is the measure of central tendency.
hi i have ask which of the following is not a method enumeration
Correlation Research Method, a statistical measure of a relationship between two or more variables, gives an indication of how one variable may predict another.
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.
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
a method is a variable
The independent variable
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
Fixed Cost - costs that do not vary with the quantity of output produced.The best example I can think of is when making Chocolate Chip Cookies. You need ingredients and supplies to make them:Chocolate Chips (Variable Cost)Flour (Variable Cost)Butter (Variable Cost)Sugar (Variable Cost)Eggs (Variable Cost)Vanilla (Variable Cost)Baking Soda (Variable Cost)Salt (Variable Cost)Bowls (Fixed Cost)Spatulas (Fixed Cost)Oven (Fixed Cost) The gas or electricity would be a variable costBaking Sheet (Fixed Cost)Cooking Rack (Fixed Cost)Mixer (Fixed Cost)Fixed Costs do not vary with Quantity. Variable Costs do vary with Quantity.
I guess an object in a method would be any object variable, used within a method. An object variable of course is a variable that is declared as a variable of a certain class type.