## 4 Test Results and Analysis
### Significance Analysis  
Design-Expert is a universal multi-functional mathematical statistics and mathematical model processing software system. It integrates the functions of numerical calculation, statistical analysis, surface simulation, and response surface analysis. In this study, the data processing system of the Design-Expert software was used to analyze the field test results (Table 3). The results of the significance test are shown in Table 4. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Indicator**} & \multirow{2}{*}{**Source**} & **Sum of** & **df** & **Mean** & **F-Value** & _p-Value_ & **Significance** \\  & & **Squares** & **dof** & **Squares** & **F-Value** & _p-Value_ & **Significance** \\ \hline \multirow{9}{*}{_PLR_} & Model & 1.81 & 9 & 0.2 & 32.06 & \textless{}0.0001 & ** \\  & \(A\) & 0.26 & 1 & 0.26 & 41.79 & 0.0003 & ** \\  & \(B\) & 0.53 & 1 & 0.53 & 83.52 & \textless{}0.0001 & ** \\  & \(C\) & 0.18 & 1 & 0.18 & 28.62 & 0.0011 & ** \\  & \(AB\) & \(3.03\times 10^{-3}\) & 1 & \(3.03\times 10^{-3}\) & 0.48 & 0.5103 & \\  & \(AC\) & 0.032 & 1 & 0.032 & 5.15 & 0.0575 & \\  & \(BC\) & 0.036 & 1 & 0.036 & 5.74 & 0.0478 & * \\  & \(A^{2}\) & 0.084 & 1 & 0.084 & 13.36 & 0.0081 & ** \\  & \(B^{2}\) & 0.58 & 1 & 0.58 & 92.27 & \textless{}0.0001 & ** \\  & \(C^{2}\) & 0.054 & 1 & 0.054 & 8.66 & 0.0216 & * \\  & Residual & 0.044 & 7 & \(6.29\times 10^{-3}\) & & & \\  & Lack of Fit & 0.029 & 3 & \(9.81\times 10^{-3}\) & 2.69 & 0.182 & \\  & Pure Error & 0.015 & 4 & \(3.65\times 10^{-3}\) & & & \\  & Cor Total & 1.86 & 16 & & & & \\  & \(\text{R}^{2}\) & 0.9763 & & & & & \\  & Adj R\({}^{2}\) & 0.9459 & & & & & \\ \hline \multirow{9}{*}{_PIR_} & Model & 1.37 & 9 & 0.15 & 43.35 & \textless{}0.0001 & ** \\  & \(A\) & 0.84 & 1 & 0.84 & 239.53 & \textless{}0.0001 & ** \\  & \(B\) & 0.097 & 1 & 0.097 & 27.65 & 0.0012 & ** \\  & \(C\) & 0.074 & 1 & 0.074 & 21.17 & 0.0025 & ** \\  & \(AB\) & 0.02 & 1 & 0.02 & 5.60 & 0.0499 & * \\  & \(AC\) & \(2.25\times 10^{-4}\) & 1 & \(2.25\times 10^{-4}\) & 0.064 & 0.8072 & \\  & \(BC\) & \(6.4\times 10^{-3}\) & 1 & \(6.4\times 10^{-3}\) & 1.83 & 0.2184 & \\  & \(A^{2}\) & 0.04 & 1 & 0.04 & 11.38 & 0.0119 & * \\  & \(B^{2}\) & 0.23 & 1 & 0.23 & 66.28 & \textless{}0.0001 & ** \\  & \(C^{2}\) & 0.032 & 1 & 0.032 & 9.16 & 0.0192 & * \\  & Residual & 0.025 & 7 & \(3.501\times 10^{-3}\) & & & \\  & Lack of Fit & 0.011 & 3 & \(3.808\times 10^{-3}\) & 1.16 & 0.4268 & \\  & Pure Error & 0.013 & 4 & \(3.27\times 10^{-3}\) & & & \\  & Cor Total & 1.39 & 16 & & & & \\  & \(\text{R}^{2}\) & 0.9824 & & & & & \\  & Adj R\({}^{2}\) & 0.9597 & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 4: ANOVA of the test result [4]. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Serial**} & \multicolumn{3}{c}{**Experimental Factor**} & \multicolumn{3}{c}{**Evaluation Indicators/\%**} \\  & \(A\)**/(r/min)** & \(B\)**/(km/h)** & \(\text{C}\)**/(\({}^{\circ}\))** & \(\text{PLR}\)** & \(\text{PIR}\)** & \(\text{PBR}\) \\ \hline
11 & 600 & 3.5 & 25 & 1.08 & 0.86 & 0.63 \\
12 & 500 & 2.5 & 25 & 1.42 & 0.70 & 0.82 \\
13 & 600 & 2.5 & 15 & 1.26 & 1.27 & 1.16 \\
14 & 500 & 4.5 & 25 & 1.99 & 1.13 & 1.05 \\
15 & 600 & 3.5 & 25 & 0.99 & 0.83 & 0.75 \\
16 & 700 & 3.5 & 15 & 0.83 & 1.53 & 1.72 \\
17 & 700 & 4.5 & 25 & 1.69 & 1.62 & 1.68 \\ \hline \end{tabular}
\end{table} 
Table 3: _Cont._As can be seen from Table 4, the _PLR_ model significance test \(p\) < 0.01, _PLR_ de-fit test \(p\) = 0.182, _PIR_ model significance test \(p\) < 0.01, _PIR_ de-fit test \(p\) = 0.4268, _PBR_ de-fit test \(p\) < 0.01, and loss-of-fit test of _PBR_ (\(p\) = 0.1993) showed that the quadratic regression equation test of _PLR_, _PIR_, and _PBR_ was highly significant, which indicates that the three models had a good fit in the experimental range. This can be used to analyze and predict the effect of the three factors: drum rotation speed (\(A\)), operating speed (\(B\)), and the spiral angle of the straw guide board (C).