The correlation coefficients (r) and root mean square error of prediction (RMSEP) were used as the model evaluation indices.
以预测集的预测相关系数(r),预测标准偏差(RMSEP)作为模型评价指标。
The next step in the simple linear regression procedure is to determine if the remaining squared error of prediction is acceptable or not.
这个简单线性回归过程中的下一步是确定其余的预测方差是否可以接受。
Using a least-squared-error criterion to determine the line of best fit involves finding estimates of m and b that minimize the squared error of prediction.
使用最小方差法来确定最吻合的直线涉及寻找使预测方差最小的 m和 b的估计值。
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