实验设计与数据处理第八章例题及课后习题答案 |
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例8-1 试验号z1z2z1z2z3 11111 2111-1 31-1-11 41-1-1-1 5-11-11 6-11-1-1 7-1-111 8-1-11-1 SUMMARY OUTPUT R Square0.988493579 Adjusted R Squar0.959727528 标准误差0.007905694 观测值8 方差分析 df SS MS F z110.00076050.000760512.168 z210.00911250.0091125145.8 z310.00018050.0001805 2.888 z1z210.00026450.0002645 4.232 z1z310.00042050.0004205 6.728 回归分析50.01073850.002147734.3632 残差20.000125 6.25E-05 总计70.0108635 Coefficients标准误差t Stat P-value Intercept0.504750.002795085180.5848499 3.07E-05 z10.009750.002795085 3.4882660450.073266 z20.033750.00279508512.074767080.006789 z1z20.004750.002795085 1.6994116630.231342 z3-0.005750.002795085-2.0571825390.175939 z1z30.007250.002795085 2.5938388540.122018 回归方程:y=0.50475+0.00975z1+0.03375z2+0.00475z1z2-0.00575z3+0.00725z1z3 由该回归方程中偏回归系数绝对值的大小,可以得到各因素和交互作用的主次顺序为: 由方差分析的结果可知,只有z2因素对试验指标有非常显著的影响,故可把其他因素归入残差 第二次方差分析表 df SS MS F z210.00911250.009112533.62546残差e'60.0016260.000271 总计70.0108635 因素z2对试验指标y有非常显著的影响,因此回归方程可以简化为: y=0.50475+0.03375z2 又z2=(x2-2100)/300,回带得方程y=0.2685+0.0001125x2 例8-2 试验号z1z2z3提取率y/% 11118 211-17.3 31-11 6.9 41-1-1 6.4 5-111 6.9 6-11-1 6.5 7-1-116 8-1-1-1 5.1 9000 6.6 10000 6.5 11000 6.6 SUMMARY OUTPUT R Square0.980625644 Adjusted R Squar0.972322348 标准误差0.121074733 观测值11 方差分析 df SS MS F z11 2.10125 2.10125143.3411 z21 2.31125 2.31125157.6667 z310.781250.7812553.29457回归分析3 5.19375 1.73125118.1008 残差70.1026136360.014659091 总计10 5.296363636 Coefficients标准误差t Stat P-value Intercept 6.6181818180.036505405181.2932012 4.1E-14 z10.51250.04280638211.97251374 6.46E-06 z20.53750.04280638212.5565388 4.69E-06 z30.31250.0428063827.3003132570.000163 回归方程:y=6.618+0.5125z1+0.5375z2+0.3125z3 由该回归方程中偏回归系数绝对值的大小,可以得到各因素和交互作用的主次顺序为: 由方差分析的结果可知,z1z2z3三个因素对试验指标都有非常显著的影响,所建立的方程也非 失拟性检验 差异源SS df MS F 失拟(Lf)0.0959469750.019189394 5.756818 重复试验(e1)0.00666666720.003333333 由F Lf 回归方程的回带 z1=(x1-70)/10z2=(x2-70)/2z3=(x3-2)/1 整理后得: y=-0.2818+0.05125x1+0.26875x2+0.3125x3 例8-3 试验号z1z2z1z2z1' 11110.367583 21-1-10.367583 3-11-10.367583 4-1-110.367583 5 1.078000.529667 6-1.078000.529667 70 1.0780-0.63242 80-1.0780-0.63242 9000-0.63242 10000-0.63242 ∑zi2 6.324168 6.324168 SUMMARY OUTPUT R Square0.99573215 Adjusted R Squar0.990397338 标准误差 3.484618488 观测值10 方差分析 df SS MS F 回归分析511331.929742266.385947186.648 残差448.5702640412.14256601 总计911380.5 Coefficients标准误差t Stat P-value Intercept468.5 1.10193312425.1619191 1.84E-10 z19.089258856 1.385649972 6.559563410.002794 z2-26.5634942 1.385649972-19.17042163 4.36E-05 z1z20 1.74230924401 z1'0 2.1201341401 z2'-41.73590203 2.12013414-19.68550067 3.93E-05 回归方程:y=468.5+9.09z1-26.56z2+z3 由该回归方程中偏回归系数绝对值的大小,可以得到各因素和交互作用的主次顺序为: 由方差分析的结果可知,z1z2z3三个因素对试验指标都有非常显著的影响,所建立的方程也非 z1z3灰化温度x1/原子化温度x灯电流x3/mA x1x2x1x3吸光度yi 1700240010168000070000.552 -170024008168000056000.554 1700180010126000070000.48 -170018008126000056000.472 -130024001072000030000.516 13002400872000024000.532 -130018001054000030000.448 13001800854000024000.484 Significance F显著性SST 0.010863 ** 0.028518* Lower 95%Upper 95%下限 95.0%上限 95.0% 0.4927240.5167760.4927240.516776 -0.002280.021776-0.002280.021776 0.0217240.0457760.0217240.045776 -0.007280.016776-0.007280.016776 -0.017780.006276-0.017780.006276 -0.004780.019276-0.004780.019276 00575z3+0.00725z1z3 作用的主次顺序为:x2>x1>x1x3>x3>x1x2 ,故可把其他因素归入残差项,重新进行方差分析得到如下表: 显著性 ** 提取率y/% Significance F显著性 ** ** ** 2.34E-06** Lower 95%Upper 95%下限 95.0%上限 95.0% 6.53186 6.704503 6.53186 6.704503 0.4112790.6137210.4112790.613721 0.4362790.6387210.4362790.638721 0.2112790.4137210.2112790.413721 次顺序为:x3>x1>x2 的影响,所建立的方程也非常显著。 F0.1 9.25 z2'y z12z22 0.36758342311 0.36758348611 0.36758341811 0.36758345411 -0.63242491 1.1620840 -0.63242472 1.1620840 0.5296674280 1.162084 0.5296674920 1.162084 -0.6324251200 -0.6324250900 Significance F 7.93E-05 Lower 95%Upper 95%下限 95.0%上限 95.0% 465.4405471.5595465.4405471.5595 5.24207812.93644 5.24207812.93644 -30.4107-22.7163-30.4107-22.7163 -4.83743 4.837426-4.837434.837426 -5.88644 5.886436-5.886445.886436 -47.6223-35.8495-47.6223-35.8495作用的主次顺序为:x3>x1>x2 的影响,所建立的方程也非常显著。 |
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