In most cases, x is independent and y is dependent. That is, you choose the value of x, but this x-value will decide the corresponding y-value.
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If x causes changes in y, for example 23x3 =y then x is the independent variable and y is the dependent variable.
The standard notation is to make y the dependent variable in linear regression.
It is called the independent variable. For example if you are trying to find y: y = x+1 X is the independent variable, and Y is the dependent variable. The value of Y, depends on the value of X.
the output variable is called the dependent variable. For example the function y = f(x) = 3x here x is independent and y is dependent; y changes when you change x
If all the values of the "independent" variable (x) are different then it is a function.If there are any repeats of the independent variable, the corresponding dependent variable, y, must be the same.If all the values of the "independent" variable (x) are different then it is a function.If there are any repeats of the independent variable, the corresponding dependent variable, y, must be the same.If all the values of the "independent" variable (x) are different then it is a function.If there are any repeats of the independent variable, the corresponding dependent variable, y, must be the same.If all the values of the "independent" variable (x) are different then it is a function.If there are any repeats of the independent variable, the corresponding dependent variable, y, must be the same.