旋转式生物接触器的回归与相关分析

M. R. Daudpoto, M. G. Talpur, A. Khooharo, K. Arain
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引用次数: 1

摘要

回归被广泛应用于预测和带函数预测的许多应用中。回归分析是根据自变量的定义来估计不确定期望。回归用于理解与使用调查相关的变量和参数之间的关系。总体而言,由条件期望定义的回归变量的参数束-即变量通常是最小的-解决了分歧;分布中的焦点参数或参数是临时变量。在信德大学宿舍,通过不同的参数,如停留时间和圆盘数,对旋转生物接触器进行了以下实验。实验表明,不同停留时间水平下的去除效果i-e;2小时,2.5小时和3小时,多盘生物需氧量(BOD)。“r”表示进水和出水数据之间存在正相关关系,其中测定系数(r2)表示(乘以100时)出水对进水数据的可靠性。决定系数(r2)也表明回归方程对估计的可靠性有多大。
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Regression and correlation analysis on rotating biological contactor
Regression widely used for prediction and forecasting a number of applications with function. Regression analysis estimates the uncertain expectation of according to the defined variables the independent variables. Regression is used to understand the relationships between the variables and arguments relating to the use survey. Overall, the regression variables defined by conditional expectation beam of argument-that the variable is normally the least resolved the disagreement; Focal points in the distribution parameters or arguments temporary variables. In Sindh University hostels the following experiment was conducted on Rotating Biological contactor through different parameters such as retention time and multiple numbers of disks. Experiment shows the removal on different retention time levels i-e; 2 hours, 2.5 hours and 3 hours with multiple number of disks of Biological Oxygen Demand (BOD). “r” indicates that there is a positive correlation in between the influent and effluent figures, where as the co-efficient of determination (r2) indicates (when multiply by 100) the reliability of effluent on influent data. Co-efficient of determination (r2) also indicates that the regression equations are how much reliable for the estimation.
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