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It is a discrete random variable.
The distinction between these two types of variables is whether the variable regress on another variable or not. Like in a linear regression the dependent variable (DV) regresses on the independent variable (IV), meaning that the DV is being predicted by the IV. Within SEM modelling this means that the exogenous variable is the variable that another variable regresses on. Exogenous variables can be recognized in a graphical version of the model, as the variables sending out arrowheads, denoting which variable it is predicting. A variable that regresses on a variable is always an endogenous variable even if this same variable is used as an variable to be regressed on.
independent variable
A random variable.
Neither. It is a discrete variable.
It is a variable which, under processes of the experiment or study, does not change or is assumed constant.
Identify your variables. Make one of the variables equal zero and solve for the other variable. Once you have a solution for this varaible this solution is called a zero. Make the other variable equal to zero and solve for the other variable. Once you have a solution for this variable this solution is also called a zero.
Solve the inequality and enter your solution as an inequality comparing the variable to the solution. -33+x<-33
It is the solution; sometimes also called the root.
That's the "solution" of the equation.
Equations are used to find the solution to the unknown variable.
A partial solution.
In a nonlinear equation, each variable must only have one solution.
It is an equation in a single variable, x.And, although the question does not ask, the solution is x = 5.It is an equation in a single variable, x.And, although the question does not ask, the solution is x = 5.It is an equation in a single variable, x.And, although the question does not ask, the solution is x = 5.It is an equation in a single variable, x.And, although the question does not ask, the solution is x = 5.
When you are left with a number = a variable.
Then it has (not have!) a unique solution.
Solution