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******************************
* Regression analysis report *
****************************** Regression analysis data ======================== No.1
No.2
No.3
No.4 20
34
-2.9
66.9 20
56
-2.8
65.7 20
53
-2.8
65.2 10
52
-2.8
65.4 10
48
-2.8
66.7 10
47
-2.8 67.2 10
45
-2.8
71.4 10
45
-2.8
73.4 10
44
-2.8
72.4 50
42
-2.8
64
50
41
-2.8
61.5 50
37
-2.8
62
50
37
-2.8
63.5 50
32
-2.8
64.4 40
26
-2.8
65.2 40
28
-2.7
61.5 40
47
-2.6
60.7 40
44
-2.6
62.2 40
43
-2.6
59.7 30
41
-2.6
58
30
38
-2.6
59
30
37
-2.6
61.2 30
37
-2.6
63.5 30
36
-2.6
64.7 30
35
-2.6
65.4 20
34
-2.6
62.2 20
32
-2.6
60.5 20
31
-2.6
60.5 20
28
-2.6
59
20
22
-2.6
57.7 20
23
-2.5
57.7 10
35 -2.4
57.7 10
33
-2.4
59.5 10
32
-2.4
60.7 10
31
-2.4
63.2 10
30
-2.4
63.7 10
29
-2.4 66.7 50
28
-2.4
82.4 50
27
-2.4
83.4 50
27
-2.4
83.1 50
27
-2.4
83.4 50
25
-2.4
84.6 50
25
-2.4
86.3 50
22
-2.4
87.3 50
17
-2.4
88.6 50
16
-2.3
88.8 50
25
-2.2
89.8 40 24
-2.2 90.1 40
23
-2.2
89.3 40
22
-2.2
86.1 40
21
-2.2
88.1 40
20
-2.2
86.3 40
20
-2.2
84.9 40
20
-2.2
82.4 40
18
-2.2
81.6 40
16
-2.2
81.1 30
16
-2.2
81.1 30
14
-2.2
81.1 30
11
-2.2
82.1 30
19
-2.1
84.1 30
18
-2.1
86.8 30
17
-2.1
88.8 30
16 -2.1
89.8 30
15
-2.1
91.6 30
13
-2.1
89.1 30
11
-2.1
90.8 20
12
-2
90.1 20
12
-2
88.6 20
12
-2
90.3 20
12
-2
87.1 20
11
-2
86.3 20
11
-2
85.4 20
11
-2
84.1 20
10
-2
82.4 20
10
-2
81.1 20
9
-2
80.9 10
9
-2
81.4 10
9
-2
82.4 10
8
-2
85.4 10
9
-1.9
87.8 10
8
-1.9
89.6 10
8
-1.9
88.6 10
7
-1.9
89.6 10
6
-1.8
88.8 10
6
-1.8
88.6 Condition of regression =======================
Data dimension value: 4
Sample Quantity value: 85
Model element value: 6
Powre Initial Value: 1
Regression precision setting: 0.01 The variables And The dimension of nexus:
No.1(x1)，No.2(x2)，No.3(x3)，No.4(y)
Regression models is: Four dimension six elememtⅣ(y = a0 + a1 * x1 ^ k1
+ a2 * x2 ^ k2 + a3 * x3 ^ k3 + a4 * x1 ^ k4 * x2 ^ k5 + a5 * x2 ^ k6 * x3 ^
k7 + a6 * x1 ^ k8 * x2 ^ k9 * x3 ^ k10) Circs of pretreatment: ===================== No.1 data Translation value: 0 No.2 data Translation value: 0 No.3 data Translation value: 8 No.4 data Translation value: 0 Models Prove parameter ====================== Correlation coefficient(R):
0.967925404323201
Statistic(F): 192.955564245002 Remain standard warp(S):
3.11034486727732
Maximal error: 7.31044952820494
Average error: 2.5044191340348 Average relativity error:
0.0330394371026472 Models Constant Coefficient =========================== a0 = -391.4518 a1 = 0.03520413 a2 = 16.19666 a3 = 78.36891 a4 = -0.02345489 a5 = -1.924019 a6 = 2.101806E-07 Models Power ============= k1 = 1.67999935150051 k2 = 0.990000009536041 k3 = 0.990000009536041 k4 = 0.990000009536041 k5 = 1.13999986648528 k6 = 1.05999994277868 k7 = 1.06999993324264 k8 = 1.01999998092589 k9 = 1.11999988555838 k10 = 6.64005756378173 Model error detail ================= No.1(x1) No.2(x2) No.3(x3) No.4(y)
ModelAccount(y)
TheAccountError
TheRelativelyError(%) 20
34
5.1
66.9
62.9454277343675
3.95457226563249
0.0628254093739892
20
56
5.2
65.7
63.6555823036716
2.04441769632838
0.0321168642614154
20
53
5.2
65.2
64.1736651011448
1.02633489885521
0.0159930852825313
10
52
5.2
65.4
70.2934202491335
-4.89342024913346
0.0696142004726791
10
48
5.2
66.7
69.7317378793192
-3.03173787931919
0.0434771593469541
10
47
5.2
67.2
69.5355529302141
-2.33555293021405
0.0335878961451276
10
45
5.2
71.4
69.0731217385292
2.32687826147082
0.0336871738659654
10
45
5.2
73.4
69.0731217385292
4.32687826147082
0.0626419966633313
10
44
5.2
72.4
68.8059004533768 3.59409954662317
0.0522353391633694
50
42
5.2
64
62.2243224076217
1.77567759237834
0.0285367123927226
50
41
5.2
61.5
62.6956176326558
-1.19561763265581 0.0190701946611506 50
37
5.2
62
64.277536665117
-2.277536665117
0.0354328554465747
50
37
5.2
63.5
64.277536665117
-0.777536665116997
0.0120965535622177
50
32
5.2
64.4
65.5134996048492
-1.11349960484918
0.0169964909761402
40
26
5.2
65.2
61.9985833703288
3.20141662967117
0.0516369319367916
40
28 5.3
61.5
65.0771663747467
-3.57716637474672
0.0549680721214507
40
47
5.4
60.7
58.5688628968865
2.13113710311352
0.036386861511474 40
44
5.4
62.2 60.7845029854144
1.41549701458559
0.0232871364420837
40
43
5.4
59.7
61.4695723891423
-1.76957238914225
0.0287877777632763
30
41
5.4
58
60.8263638428415
-2.82636384284153
0.0464660989787927
30
38
5.4
59
62.131827847949
-3.13182784794903
0.0504061759717312
30
37
5.4
61.2
62.5070111439767 -1.30701114397669
0.0209098326740686
30
37
5.4
63.5
62.5070111439767
0.992988856023302
0.0158860396273961
30
36
5.4
64.7
62.8509479984677
1.84905200153233
0.0294196358275679
30
35
5.4
65.4
63.1628210460302
2.23717895396982
0.0354192374077065
20
34
5.4
62.2
62.0374764691702
0.162523530829823
0.00261976373121157 20
32
5.4
60.5
62.2248944107519
-1.72489441075193
0.0277203268416295
20
31
5.4
60.5
62.2665029916587
-1.76650299165871
0.0283700369666714
20
28
5.4
59
62.1698811837242
-3.16988118372419
0.0509874093913187
20
22
5.4
57.7
60.8599977570693
-3.15999775706934
0.0519224100152433
20
23
5.5
57.7
63.7988243256874
-6.09882432568744
0.0955946193389626
10
35
5.6
57.7
59.8505978574454 -2.15059785744535
0.0359327715082769
10
33
5.6
59.5
60.8906381734082
-1.39063817340821
0.0228382919792671
10
32
5.6
60.7
61.3599338894481
-0.659933889448062
0.0107551271263926
10
31
5.6
63.2
61.7940855562442
1.40591444375585
0.0227516020522094
10
30
5.6
63.7
62.1920193831435
1.50798061685651
0.0242471724155855
10
29
5.6
66.7
62.5525918576714
4.14740814232865
0.0663027385302503
50
28
5.6
82.4
81.797951758916
0.60204824108402
0.00736018724354424 50
27 5.6
83.4
82.2900804264013
1.1099195735987
0.0134878902517466
50
27
5.6
83.1
82.2900804264013
0.809919573598691
0.00984225035875458 50
27
5.6
83.4 82.2900804264013
1.1099195735987
0.0134878902517466
50
25
5.6
84.6
83.1425109010307
1.45748909896926
0.017530010618806 50
25
5.6
86.3
83.1425109010307
3.15748909896926
0.0379768311631556
50
22
5.6
87.3
84.0661226990131
3.23387730098695
0.0384682580468876
50
17
5.6
88.6
84.5157740560392 4.08422594396083
0.0483250137572276
50
16
5.7
88.8
90.5894651987859
-1.78946519878592
0.0197535684183496
50
25
5.8
89.8
94.4781412220679
-4.67814122206791 0.0495155933590192 40
24
5.8
90.1
85.9455853405528
4.1544146594472
0.0483377318682007
40
23
5.8
89.3
86.4441061633284
2.85589383667164
0.0330374615855902
40 22
5.8
86.1
86.8930378023941
-0.793037802394139
0.00912659773959805 40
21
5.8
88.1
87.2902518649243
0.809748135075665
0.0092765013019861
40
20
5.8
86.3
87.633422749487
-1.33342274948699
0.0152159154310196
40
20
5.8
84.9
87.633422749487
-2.73342274948698
0.03119155527339 40
20
5.8
82.4
87.633422749487
-5.23342274948698
0.0597194835633373
40
18
5.8
81.6
88.147166110618
-6.54716611061805
0.0742754010083756
40
16
5.8
81.1
88.4104495282049
-7.31044952820494
0.0826876185701639
30
16
5.8
81.1
81.0423895876586
0.0576104123414041
0.000710867641422276 30
14
5.8
81.1
81.1158934025345
-0.0158934025345303
0.000195934506393955 30
11
5.8
82.1
80.6158561275213
1.48414387247874
0.0184100739453919
30
19
5.9
84.1
85.3322429905405 -1.2322429905405
0.0144405320586393
30
18
5.9
86.8
85.7470674173954
1.05293258260464
0.0122795171230665
30
17
5.9
88.8
86.0995189938697
2.7004810061303 0.031364646837604 30
16
5.9
89.8
86.386124089429
3.41387591057095
0.0395187994201108
30
15
5.9
91.6
86.6029859984546
4.9970140015454
0.0577002506776679
30
13
5.9
89.1
86.8092549812599
2.29074501874011
0.0263882580173581
30
11
5.9
90.8
86.674862313701
4.12513768629896
0.0475932418717772
20
12 6
90.1
85.9740337457325
4.1259662542675
0.0479908418217297
20
12
6
88.6
85.9740337457325
2.6259662542675
0.0305437134895144
20
12
6
90.3 85.9740337457325
4.3259662542675
0.0503171255993584
20
12
6
87.1
85.9740337457325
1.1259662542675
0.0130965851572991
20
11
6
86.3
86.1334084775494
0.166591522450631
0.00193411041540348 20
11
6
85.4
86.1334084775494
-0.733408477549361
0.00851479687745694 20
11
6
84.1
86.1334084775494 -2.03340847754937
0.0236076629671445
20
10
6
82.4
86.1924902927085
-3.79249029270854
0.0440002403901928
20
10
6
81.1
86.1924902927085
-5.09249029270855 0.0590827608694739 20
9
6
80.9
86.1417552551692
-5.24175525516918
0.0608503418538669
10
9
6
81.4
81.3018375092606
0.0981624907394547
0.00120738342141743 10 9
6
82.4
81.3018375092606
1.09816249073945
0.0135072284265945
10
8
6
85.4
81.2631157350304
4.13688426496965
0.0509072809669092
10
9
6.1
87.8
86.9634838691581
0.836516130841886
0.00961916535106248 10
8
6.1
89.6
87.1518982722306
2.44810172776936
0.0280900562845158
10
8
6.1
88.6
87.1518982722306
1.44810172776936
0.0166158369063404
10
7
6.1
89.6
87.2020400797443
2.39795992025574
0.0274988970219374
10
6
6.2
88.8
93.4580543223543
-4.65805432235433
0.0498411223744058
10
6
6.2
88.6
93.4580543223543
-4.85805432235433
0.0519811198465356
Analysis:
Auditor: Analysis
date: 2022-3-7 16:29:33 |