食品试验优化设计与统计分析教材例题
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y
X1X2X3x1x2x1x3x2x392.35
11111186.1
11-11-1-189.58
1-11-11-187.05
1-1-1-1-1185.7
-111-1-1183.26
-11-1-11-183.95
-1-111-1-183.38-1-1-1111SUMMARY OUTPUT 回归统计
Multiple R 0.938676R Square 0.881113
Adjusted R 0.791948标准误差 1.457734
观测值8方差分析df
SS MS F Significance F
回归分析
362.9963420.998789.8818370.025426残差
48.499952.124988总计771.49629Coefficients 标准误差
t Stat P-value Lower 95%Upper 95%下限 95.0%Intercept 86.421250.515387
167.68237.59E-0984.9903187.8521984.99031X1 2.348750.515387
4.5572580.010360.917807 3.7796930.917807X20.431250.515387
0.836750.44981-0.99969 1.862193-0.99969X3 1.473750.515387 2.8595030.0459530.042807 2.9046930.042807SUMMARY OUTPUT
回归统计
Multiple R 0.997004
R Square 0.994016
Adjusted R 0.958114
标准误差0.654074
观测值8
..y x =++8642235
1 2
711-=z x ，
方差分析
df SS MS F Significance F
回归分析671.0684711.8447527.686770.144462
残差10.4278130.427813
总计771.49629
Coefficients标准误差t Stat P-value Lower 95%Upper 95%下限 95.0% Intercept86.421250.23125373.71350.00170383.4829489.3595683.48294 X1 2.348750.2312510.156760.062478-0.58956 5.28706-0.58956 X20.431250.231251.8648650.313351-2.50706 3.36956-2.50706 X3 1.473750.231256.3729730.099086-1.46456 4.41206-1.46456 x1x20.023750.231250.1027030.934846-2.91456 2.96206-2.91456 x1x30.721250.231253.1189190.197523-2.21706 3.65956-2.21706 x2x30.698750.231253.0216220.203465-2.23956 3.63706-2.23956
上限 95.0%87.85219
3.779693
1.862193
2.904693
...x x x ++235043147123
22
73311-=-=z x z x ，
上限 95.0% 89.35956
5.28706
3.36956
4.41206
2.96206
3.65956
3.63706
F t
x1102.6210.13015 x2 3.47 1.862794 x340.42 6.357673