通过多元线性回归分析，建立了用多种测井信息划分、评价储层的数学模型。
By using multivariate linear regression analysis, the mathematical model to classify and evaluate reservoir with well logging data was established.
多元线性回归模型分析显示：血清tc水平与累积噪声剂量呈正相关，与高温级别呈负相关。
The multiple liner regression model indicated that serum TC level was significantly associated with accumulative noise dose, but negative associate with scale of hot environment.
利用回归分析法，建立一元线性回归处理的数学模型和多元线性回归处理的数学模型。
With regression analysis, a mathematics model of both simple linear and multiple linear regressions were established.
应用推荐