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****************************** * Regression analysis report * ****************************** Regression analysis data ======================== Data value 0.6
1.3
2.5
4.3
7.5
12.6 20.3 31.8 48.3 71.5 103.32 Condition of regression =======================
Data dimension value: 1
Sample Quantity value: 11
Model element value: 3
Powre Initial Value: 1
Regression precision setting: 0.01 The variables And The dimension of nexus:
No.1(x1)，No.2(y)
Regression models is: Two dimension three elememtⅠ(y = a0 + a1 * x1 ^ k1
+ a2 * x1 ^ k2 + a3 * x1 ^ k3) Circs of pretreatment: ===================== No pretreatment Models Prove parameter ====================== Correlation coefficient(R):
0.999998728301327
Statistic(F): 917406.352593089 Remain standard warp(S):
0.0643104000426818
Maximal error: 0.0888781910434071
Average error: 0.0459262083838491 Average relativity error:
0.0156158993655756 Models Constant Coefficient =========================== a0 = 0.6810166 a1 = 37.6325 a2 = -37.67587 a3 = 0.002350672 Models Power ============= k1 = 1.24999976158071 k2 = 1.24000000953604 k3 = 4.37999725341726 Model error detail ================== Serial(x1) Value(y)
ModelAccount(y)
TheAccountError
TheRelativelyError(%) 1
0.6
0.639997271999997
-0.0399972719999966
0.0624960038892116
2
1.3
1.24576711745836
0.0542328825416427
0.0435337245474017
3
2.5
2.42406902078114
0.0759309792188638
0.0313237694834266
4
4.3
4.38887819104341
-0.0888781910434071
0.0202507764341205
5 7.5
7.56220837632546
-0.0622083763254579
0.00822621821956267 6
12.6
12.5748617812859
0.0251382187141065
0.00199908509145743 7
20.3
20.276613172833
0.0233868271669735
0.00115338922568724 8
31.8
31.7481162803842
0.051883719615752
0.00163422985973529 9
48.3
48.3128132002403
-0.0128132002402594
0.000265213292116795 10
71.5
71.5483898638813
-0.0483898638812832 0.000676323589857766 11
103.32
103.297671238525
0.0223287614745971
0.000216159388753669
Analysis:
Auditor:
Analysis date: 2022-3-7 13:41:57 |