No, if there is a sqaured variable, the equation is not linear.
It seems part of this question is missing. Perhaps the answer is that you might compare the effect to basic functions such as linear, quadratic, or exponential.
"Bilinear" is a mathematical term for something being linear in each variable.
The answer depends on what you mean by "A".
A linear graph shows a linear equation in which the value of one variable depends on the value of the other variable.
It appears to be a linear equation in the variable, g.It appears to be a linear equation in the variable, g.It appears to be a linear equation in the variable, g.It appears to be a linear equation in the variable, g.
ControlThe answer will depend on the nature of the effect. IFseveral requirements are met (the effect is linear, the "errors" are independent and have the same variance across the set of values that the independent variable can take (homoscedasticity) then, and only then, a linear regression is a standard. All to often people use regression when the data do not warrant its use.
No, if there is a sqaured variable, the equation is not linear.
It seems part of this question is missing. Perhaps the answer is that you might compare the effect to basic functions such as linear, quadratic, or exponential.
"Bilinear" is a mathematical term for something being linear in each variable.
The answer depends on what you mean by "A".
A linear graph shows a linear equation in which the value of one variable depends on the value of the other variable.
The clue is in the name - variable.
as one variable increases the other variable decreases
Solving a one variable linear equation involves getting the variable on one side of the equals sign by itself. To do this one uses the properties of numbers.
The control group serves as a standard of comparison to evaluate the effect of the independent variable on the dependent variable. By comparing the results of the experimental group receiving the independent variable with the control group, researchers can isolate the effect of the independent variable on the dependent variable.
It means that the dependent variable and all its derivatives are multiplied by constants only, not by themselves nor by functions containing the independent variable.. For example, (dy/dx) + xy = 0 is non-linear but (dy/dx) + y = (x^2)coswx is linear. (Note that it doesnt matter how the function of the independent variable is)