For example, there is a relational pattern R (A 1, A2, ... an), where both X and Y are (A 1, A2, ..., one). For the value r of r, when the values of those attribute components corresponding to X in any binary group U and V are equal, there are U and V corresponding to. y .
These two words are often used in mathematical statistical analysis to study the relationship between multiple dependent variables and the relationship between individuals and the variables under study.
Dependent variable, that is, dependent variable, the change of one quantity will cause the change of other quantities except the dependent variable.
In regression analysis, variables refer to various indicators with different values. The specific explanation is as follows. First of all, variables need to have a carrier (indicator). Such as sales, such as discounts, such as time. Secondly, a variable is a quantity. This number can be expressed as a numerical value (such as sales in 50 yuan) or as a certain characteristic (such as gender).
Third, the value of a variable (that is, the quantity) can be changed, not fixed. For example, in the regression analysis of temperature, variables refer to various indicators with different values. Finally, there are many kinds of variables, and there are countless variables in this world. Regression analysis is to find some useful variables for analysis. The sky is changing, and the temperature value is different every day.
Finally, there are many kinds of variables, and there are countless variables in this world. Regression analysis is to find some useful variables for analysis.
Extended data:
In calculus and its application in physics and other sciences, it is common to consider that the possible value of one variable (such as Y) depends on the value of another variable (such as X). Mathematically, the dependent variable y represents the function value of X. To simplify the formula, it is usually useful to use the same symbol for the dependent variable y and the function that maps x to y.
For example, the state of a physical system depends on measurable quantities, such as pressure, temperature, spatial position ..., and when the system evolves, all these quantities are different, that is, they are functions of time. In the formula describing the system, these quantities are expressed by time-related variables, so they are implicitly regarded as functions of time.
Therefore, in the formula, the dependent variable is a variable that is implicitly a function of another (or several) variables. Independent variables are independent variables.
Dependent or independent properties of variables are usually not inherent. For example, in the symbol f(x, y, z), three variables can be independent, and the symbol represents the function of the three variables. On the other hand, if y and z depend on x(x is a dependent variable), the symbol represents a function of a single independent variable x.
for instance
If the function f is defined from a real number to a real number
Then x is a variable, representing the parameter that defines the function, which can be any real number.
The variable I is a summation variable, which sequentially specifies integers 1, 2, ..., n, and n is a parameter (unchanged in the formula).
In polynomial theory, two-dimensional polynomials are usually expressed as ax2? +bx+c, where a, b and c are called coefficients (assuming they are fixed, that is, the parameters of the problem under consideration), and x is called a variable.
When studying the polynomial function of this polynomial, this X represents the function parameter. When studying a polynomial as an object, X is considered to be uncertain, and this state is usually represented by capital letters.
Baidu Encyclopedia-Variables (statistical nouns)