Actual and predicted data for the BBD response surface experiment

This document is a summary table of measured data and model predictions from response surface method experiments. It is primarily used to verify the fit of the response surface model and analyze the results. Specific contents include:
Basic experimental data: The levels of independent variables (experimental factors) and corresponding measured response values from 46 sets of response surface design experiments;
Model prediction data: 100 sets of predicted response values calculated based on the response surface regression model, along with the corresponding combinations of independent variables;
Comparison Information: This section presents the correspondence between measured and predicted values, providing a visual representation of the model’s fitting accuracy and serving as a data foundation for subsequent model reliability analysis and trend forecasting.

本文档为响应面法（Response Surface Method）实验实测数据与模型预测结果汇总表，主要用于验证响应面模型的拟合效果并开展结果分析。具体内容包括：
1. 基础实验数据：涵盖46组响应面设计实验的自变量（实验因素）水平，以及对应的实测响应值；
2. 模型预测数据：基于响应面回归模型计算得到的100组预测响应值，以及相应的自变量组合；
3. 对比信息：该部分展示实测值与预测值的对应关系，可直观呈现模型的拟合精度，同时为后续模型可靠性分析与趋势预测提供数据基础。