Linear regression analysis is one technique for estimation a line of best fit.
线形回归分析是一向估算最优拟和线的技术。
The residual error amendment model is derived from fuzzy linear regression model, it can find the most suitable linear function to make the line difference sum in ideal linear regression minimum.
该模型是在模糊线性回归模型的基础上推导出来的，它可以寻找最合适的线性函数使理想线性回归中的线差和达到最小。
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。
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 use experimental data to set up linear regression equation with unitary and regression straight line, to use variance analysis and related coefficient to test validity of equation.
本文利用实验数据建立一元线性回归方程；回归直线，并用方差分析法和相关系数法检验方程的有效性。
This paper use experimental data to set up linear regression equation with unitary and regression straight line, to use variance analysis and related coefficient to test validity of equation.
本文利用实验数据建立一元线性回归方程；回归直线，并用方差分析法和相关系数法检验方程的有效性。
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