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Independent and dependent variables are mostly used in econometric models. For example, if we want to observe the relationship between precipitation and the income of scenic spots, we can consider precipitation as the independent variable in the model, and the income of scenic spots that changes due to precipitation changes is regarded as the dependent variable. Endogenous and exogenous variables are mostly used in micro or macro models.
An endogenous variable can be understood as a solution of a model, while an exogenous variable is a given variable. To give a simple example, if a farmer wants to build a fence to enclose his livestock: he can now afford a fence with a total length of 100 meters, so how much can he maximize the length and width of the fence?
In this example, the circumference of 100 meters is a given quantity and is exogenous, while the length and width are endogenous variables that we need to solve by building the model.
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The independent variable is the temperature change value, because the variable is the way of thermal control, which is very right when you say it, and by its heat becomes cooler, you can treat it as an independent variable, and you can solve it.
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Here's an example of how to determine the effect of temperature on enzymatic reactions.
There are many quantities that can be varied in this reaction, such as temperature, speed of enzymatic reaction, reaction time, pH, amount of substrate, amount of enzyme, etc.
Where temperature is the factor we want to **, called the independent variable (cause).
The speed of the enzymatic reaction varies according to the independent variable of temperature, so it is called the dependent variable (outcome).
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The temperature control change value of the independent variable is often determined by the amount of heat and the tendency of the heat.
This independent variable is caused by the difference in heat in the process of temperature change, and the heat control problem is often controlled by the information we transmit in the process of heat conduction.
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The variable is the temperature change value, and the dependent variable is the heat, so you should control the constant change of this independent variable to see what the heat will become.
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What will be controlled if the temperature changes? I feel like there are some control variables this time.
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variable temperature, which you should check some requirements for this independent variable, to understand more.
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The variable is a ten-degree change in value, and the dependent variable is heat, which should be controlled.
Independent variables: Independent variables refer to factors or conditions that are actively manipulated by the researcher to cause changes in the dependent variable, so the independent variable is regarded as the cause of the dependent variable. >>>More
We can understand f(x) from the following aspects.
First: an understanding of algebraic formulas. Every algebraic formula is essentially a function. >>>More
This is good for multiple linear regression, but it is actually binary linear regression, with 2 independent variables A and B, and the dependent variable C. >>>More
Multicollinearity refers to the correlation between independent variables, that is, an independent variable can be expressed by the linear expression of one or several other independent variables. If multicollinearity exists, the matrix is irreversible when calculating the partial regression coefficients of the independent variables, resulting in an infinite number of solutions or no solutions. >>>More
Substitute the coordinates into it, the number in front is x, and the number in the back is y2The constant is (30), where the independent variable is (t), u) is a function of (t), and when t=(15), u=0 >>>More