Quadratic Curve

Quadratic curve regression analysis is a regression analysis method used to study the relationship between two variables. In quadratic curve regression analysis, we assume that there is a quadratic equation relationship between two variables, and analyze the data to determine the coefficients of the quadratic equation. Then, this quadratic equation can be used to predict the value of one variable, given the value of another variable. In practical applications, quadratic curve regression analysis is usually used to study the changing trends of natural phenomena, such as physical phenomena in experimental data or market trends in economic data.

The analysis results are as follows:

According to linear regression analysis, A2 is used as the dependent variable, and ['A1 '] and its square indicator are used as independent variables for secondary regression analysis. From the above table, it can be seen that the model formula is: A2=1.338+1.203 * A1-0.225 * A1_ Square; The R-squared value of the model is 0.0399, which means that ['A1 '] and its squared index can explain the 3.99% change in A2. A2=1.338+1.203 * A1-0.225 * A1_ Square

Reference:

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Quadratic Curve

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