Equation formula of standard curve regression: y = (a+bx)/X. There is curve regression between two variables, and curve regression is a statistical method to establish the quantitative relationship of nonlinear mathematical model between different variables. The relationship between various factors in agricultural chemistry is mostly curvilinear. Curve regression analysis or nonlinear regression analysis: a method to analyze the characteristics and laws of curve relationship data in quantitative change by least square method.

Practical application of linear regression;

1. If the target is prediction or mapping, linear regression can be used to fit the prediction model to the sum of the observed data sets. When this model is completed, for the newly added X value, the fitted model can be used to predict the Y value without giving a matching Y value. ..

2. Given a variable Y and some variables X 1, ..., Xp, which may be related to Y, linear regression analysis can be used to quantify the correlation strength between Y and Xj, evaluate Xj unrelated to Y, and identify which subsets of Xj contain redundant information about Y.