If there appears to be a linear relationship test results should be established by appropriate statistical methods (e. g. by calculation of a regression line by the method of least squares).
如果其呈现线性关系，测试结果应该通过适当的统计学方法(例如，以最小二乘方来计算回归线)来确立。
This article researches the coefficient estimating problem of the linear regression model and the math analysis foundation of the least squares estimation applying in the coefficient estimating.
本文研究了线性回归模型中的参数估计问题，运用最小二乘法进行参数估计的数学分析基础。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
This paper studies linear regression models with dependent errors, and we introduce the jackknifed least squares estimator and generalized jackknife least squares estimator.
在误差为相依的情况下，讨论了线性回归模型的刀切最小二乘估计与广义刀切最小二乘估计。
In linear regression, the least squares estimation is heavily innuenced with outlyers.
在线性回归中，常用最小二乘估计求线性方程的回归系数。
Linear regression analysis (the least squares method) is one technique for estimation a line of best fit.
线形回归分析(最小二乘法)是一向估算最优拟和线的技术。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
本文给出了基于极径法球面测量的加权最小二乘估计模型，并依据该模型进行测量采样点布局的优化设计。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
本文给出了基于极径法球面测量的加权最小二乘估计模型，并依据该模型进行测量采样点布局的优化设计。
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