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* Regression analysis report *

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Regression analysis data

========================

No.1 No.2 No.3

50 21.5 150

60 30 150

70 43.5 150

100 155 150

124 400 150

132 500 150

150 760 150

50 6.75 175

70 18.5 175

100 68 175

125 170 175

152 400 175

158 500 175

175 760 175

50 2 200

90 17 200

130 93 200

150 180 200

176 400 200

183 500 200

200 760 200

50 0.55 225

90 6.3 225

120 26 225

160 120 225

180 230 225

209 500 225

225 760 225

50 0.115 250

90 2 250

120 11 250

150 40 250

190 150 250

233 500 250

250 760 250

50 0.015 275

90 0.6 275

130 6.2 275

180 50 275

220 175 275

258 500 275

275 760 275

62.1 0.01 300

100 0.32 300

140 4.1 300

180 25 300

230 125 300

284 500 300

300 760 300

82 0.01 325

130 0.7 325

170 6.8 325

220 43.5 325

270 205 325

306 500 325

325 760 325

102 0.01 350

150 0.68 350

190 6 350

240 40 350

280 135 350

330 500 350

350 760 350

122 0.01 375

170 0.62 375

210 5.5 375

260 40 375

300 128 375

353 500 375

375 760 375

142 0.01 400

200 1.12 400

240 8 400

280 38 400

320 128 400

360 340 400

400 760 400

162 0.01 425

200 0.3 425

240 3.3 425

280 19 425

320 72.5 425

360 215 425

425 760 425

181 0.01 450

220 0.3 450

250 1.85 450

280 7.7 450

320 37 450

360 125 450

450 760 450

204 0.01 475

230 0.11 475

260 1.1 475

290 6 475

320 18 475

360 67 475

475 760 475

225 0.01 500

250 0.1 500

270 0.45 500

300 2.7 500

330 11 500

360 32 500

500 760 500

247 0.01 525

270 0.09 525

300 0.8 525

320 2.6 525

340 7 525

360 13 525

525 760 525

263 0.01 550

280 0.032 550

300 0.2 550

320 0.9 550

340 2.6 550

360 6.2 550

550 760 550

290 0.01 575

310 0.1 575

320 0.25 575

330 0.47 575

340 0.8 575

360 2 575

575 760 575

303 0.01 600

310 0.011 600

320 0.04 600

330 0.08 600

350 0.35 600

360 0.65 600

600 760 600

330 0.01 625

335 0.019 625

340 0.023 625

345 0.042 625

350 0.063 625

360 0.14 625

625 760 625

350 0.01 650

352 0.011 650

354 0.012 650

356 0.015 650

358 0.02 650

360 0.025 650

650 760 650

Condition of regression

=======================

Data dimension value: 3

Sample Quantity value: 147

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(y)

Regression models is: Three dimension six elememtⅠ(y = a0 + a1 * x1 ^ k1 + a2 * x1 ^ k2 + a3 * x2 ^ k3 + a4 * x2 ^ k4 + a5 * x1 ^ k5 * x2 ^ k6 + a6 * x1 ^ k7 * x2 ^ k8)

Circs of pretreatment:

=====================

No pretreatment

Models Prove parameter

======================

Correlation coefficient(R): 0.9998965

Statistic(F): 112670.5

Remain standard warp(S): 2.232071

Maximal error: 7.24437069961689

Average error: 1.68868884972607

Average relativity error: 0.00532890066280227

Models Constant Coefficient

===========================

a0 = 281.7038

a1 = 4.059169

a2 = 0.04202917

a3 = -149.3569

a4 = 0.004614557

a5 = -0.1168255

a6 = -2.0911E-05

Models Power

=============

k1 = 0.750000238418274

k2 = 1.36999988555838

k3 = 0.120000652968528

k4 = 1.30999994277868

k5 = 0.740000247954315

k6 = 0.28000068664467

k7 = 1.24000000953604

k8 = 1.02999997138883

Model error detail

=================

No.1(x1) No.2(x2) No.3(y) ModelAccount(y) TheAccountError TheRelativelyError(%)

50 21.5 150 146.337513271489 3.66248672851145 0.0250276682077871

60 30 150 150.067486233423 -0.0674862334227271 0.000449705896437524

70 43.5 150 151.883108195829 -1.88310819582887 0.0123984043926788

100 155 150 147.388823829972 2.61117617002839 0.0177162426714298

124 400 150 142.755629300383 7.24437069961689 0.0507466552115676

132 500 150 144.502074399406 5.49792560059427 0.0380473818347959

150 760 150 152.086583040752 -2.08658304075158 0.0137197049143545

50 6.75 175 175.575777232858 -0.575777232857945 0.00327936599189488

70 18.5 175 176.125807171214 -1.12580717121364 0.00639206252221305

100 68 175 174.522690967919 0.47730903208128 0.00273493967709345

125 170 175 172.861917902551 2.13808209744855 0.0123687283086484

152 400 175 172.882507914205 2.11749208579519 0.0122481569208033

158 500 175 171.904690659118 3.09530934088184 0.0180059620770893

175 760 175 177.14901591752 -2.14901591751973 0.0121311197038786

50 2 200 202.094107252577 -2.09410725257726 0.0103620401457824

90 17 200 203.34139841487 -3.34139841487027 0.0164324551759644

130 93 200 199.340674807377 0.65932519262293 0.00330752965123669

150 180 200 198.990228367195 1.00977163280476 0.00507447848615678

176 400 200 198.460170176966 1.53982982303447 0.00775888593495315

183 500 200 198.029606463751 1.9703935362493 0.00994999470753372

200 760 200 202.039313546259 -2.03931354625936 0.010093647174229

50 0.55 225 226.161038503582 -1.16103850358203 0.00513368045735979

90 6.3 225 228.584748445452 -3.58474844545168 0.0156823605679323

120 26 225 227.762100421286 -2.76210042128577 0.0121271292114745

160 120 225 224.78218901398 0.217810986020453 0.000968986853344092

180 230 225 223.214558370703 1.7854416292974 0.00799876872875035

209 500 225 225.051392704378 -0.0513927043782303 0.00022835985932217

225 760 225 226.817766019864 -1.81776601986351 0.00801421357665749

50 0.115 250 250.596713624122 -0.596713624121747 0.00238117098780784

90 2 250 254.031834529348 -4.03183452934778 0.0158713750850073

120 11 250 251.481092668128 -1.48109266812835 0.00588947921457819

150 40 250 250.145889257749 -0.145889257749275 0.00058321669079659

190 150 250 250.346149048855 -0.3461490488545 0.00138268173954195

233 500 250 249.912002931252 0.087997068747967 0.000352112214362805

250 760 250 251.527469039591 -1.52746903959095 0.0060727722718449

50 0.015 275 276.081798122858 -1.08179812285789 0.00391839712075652

90 0.6 275 276.999793700753 -1.99979370075255 0.00721947722066883

130 6.2 275 278.005834458626 -3.0058344586256 0.0108121272507788

180 50 275 277.758212960197 -2.75821296019677 0.00993026607854807

220 175 275 277.74399591105 -2.74399591104958 0.009879586782961

258 500 275 275.762049821479 -0.762049821479195 0.00276343253893175

275 760 275 276.200234999658 -1.20023499965777 0.00434552490391347

62.1 0.01 300 296.89598497918 3.10401502082027 0.0104548905268555

100 0.32 300 300.328023942419 -0.328023942418497 0.00109221889490202

140 4.1 300 299.892222163435 0.107777836564992 0.000359388568958135

180 25 300 299.608362431507 0.391637568493309 0.00130716501139998

230 125 300 301.897731456601 -1.89773145660132 0.00628600767367517

284 500 300 302.626208495287 -2.62620849528651 0.00867806033173564

300 760 300 300.860146227891 -0.860146227890823 0.00285895702264032

82 0.01 325 323.128517225467 1.87148277453286 0.00579175985642584

130 0.7 325 324.088322340348 0.911677659652071 0.00281305309944076

170 6.8 325 323.637748275577 1.36225172442283 0.00420918675797632

220 43.5 325 328.368798142431 -3.36879814243053 0.0102591907680867

270 205 325 326.289704772577 -1.2897047725765 0.00395263703914723

306 500 325 325.359603951425 -0.359603951424788 0.00110525076579106

325 760 325 325.525803987278 -0.525803987277868 0.00161524518436768

102 0.01 350 348.786947550899 1.2130524491007 0.00347791813202436

150 0.68 350 349.057705140194 0.9422948598056 0.0026995389184351

190 6 350 350.489011517602 -0.489011517602307 0.00139522638808249

240 40 350 354.125546772177 -4.12554677217742 0.011649955248305

280 135 350 354.598553072799 -4.59855307279889 0.0129683356938425

330 500 350 350.176440391723 -0.176440391722849 0.000503861400628424

350 760 350 350.211812374844 -0.211812374843589 0.000604812194675145

122 0.01 375 373.968987451954 1.03101254804557 0.0027569466523692

170 0.62 375 374.986506039495 0.0134939605049453 3.59851895671256E-05

210 5.5 375 376.297732777286 -1.29773277728594 0.00344868614463328

260 40 375 377.078108865812 -2.0781088658124 0.00551108329269763

300 128 375 379.050318003817 -4.05031800381664 0.0106854362374545

353 500 375 373.986459122392 1.01354087760842 0.00271010046723838

375 760 375 374.929791494895 0.0702085051046311 0.000187257739174847

142 0.01 400 398.815379764021 1.18462023597948 0.00297034742411494

200 1.12 400 399.785090171558 0.214909828441876 0.000537563390244624

240 8 400 402.00384095337 -2.0038409533696 0.00498463136227109

280 38 400 401.76064402225 -1.76064402224983 0.0043823207883755

320 128 400 401.361789372733 -1.36178937273297 0.00339292231794471

360 340 400 400.61139772889 -0.61139772888987 0.00152616159289514

400 760 400 399.689089368955 0.310910631044862 0.000777881206454097

162 0.01 425 423.418746124485 1.58125387551547 0.00373449189481702

200 0.3 425 423.806776307725 1.1932236922749 0.00281548988591089

240 3.3 425 424.026173175892 0.973826824108187 0.00229661960914906

280 19 425 424.064161072197 0.93583892780299 0.00220683333728752

320 72.5 425 424.124714181722 0.875285818277519 0.00206374632038653

360 215 425 422.70187853143 2.29812146856978 0.00543674297486922

425 760 425 424.497294522808 0.502705477192023 0.00118423717578019

181 0.01 450 446.625799045499 3.37420095450125 0.00755487247201658

220 0.3 450 447.8222925607 2.17770743930049 0.00486288305758096

250 1.85 450 448.872526828412 1.12747317158829 0.00251178921453414

280 7.7 450 449.892983846334 0.107016153665995 0.000237870243610084

320 37 450 448.605108287856 1.3948917121445 0.0031093977450864

360 125 450 447.07394905187 2.92605094813007 0.00654489252691971

450 760 450 449.360612898092 0.639387101907971 0.00142288194282166

204 0.01 475 474.560188421863 0.439811578136869 0.000926777232619218

230 0.11 475 475.610945227438 -0.610945227437924 0.00128454829218821

260 1.1 475 471.607548886532 3.39245111346798 0.00719337746284507

290 6 475 468.183491483652 6.81650851634788 0.0145594807171579

320 18 475 472.134185228026 2.86581477197393 0.00606991584519522

360 67 475 472.612177337361 2.38782266263917 0.00505239343618243

475 760 475 474.284150116041 0.715849883959436 0.00150932702217498

225 0.01 500 499.956066035523 0.0439339644768211 8.78756504050487E-05

250 0.1 500 501.008387811531 -1.00838781153089 0.00201271642563843

270 0.45 500 500.531227191393 -0.531227191392986 0.00106132677150602

300 2.7 500 499.528502665818 0.47149733418172 0.000943884746647078

330 11 500 498.460507241217 1.53949275878341 0.00308849494878521

360 32 500 499.672300485741 0.327699514259223 0.000655828858114928

500 760 500 499.272126282664 0.727873717336308 0.00145786972478456

247 0.01 525 526.483414779893 -1.48341477989266 0.00281759071273466

270 0.09 525 526.506409745074 -1.50640974507417 0.00286114227138003

300 0.8 525 525.448874277746 -0.448874277745517 0.00085426822611908

320 2.6 525 524.016631358078 0.983368641921743 0.00187659815180517

340 7 525 522.763620495194 2.23637950480554 0.00427799375688596

360 13 525 528.586724165364 -3.58672416536376 0.00678549801080832

525 760 525 524.328041796465 0.671958203535382 0.0012815606833331

263 0.01 550 545.741316428874 4.25868357112643 0.00780348389048799

280 0.032 550 552.50584070813 -2.50584070812965 0.00453541034954127

300 0.2 550 550.149784221186 -0.149784221185769 0.000272260801479381

320 0.9 550 546.876452077449 3.12354792255098 0.00571161532131324

340 2.6 550 547.640325622421 2.35967437757927 0.00430880318190115

360 6.2 550 549.505432586726 0.494567413274012 0.000900022791305083

550 760 550 549.454806965152 0.545193034847784 0.000992243634847956

290 0.01 575 578.198125376894 -3.19812537689427 0.00553119291905278

310 0.1 575 572.835719118444 2.16428088155624 0.00377818772350112

320 0.25 575 570.345572932226 4.65442706777412 0.00816071394022586

330 0.47 575 571.202210214644 3.79778978535637 0.00664876591413968

340 0.8 575 572.97949416499 2.02050583500954 0.00352631438923316

360 2 575 577.328484535858 -2.3284845358578 0.00403320570217452

575 760 575 574.654844486432 0.345155513567875 0.000600630999424253

303 0.01 600 593.815143674336 6.18485632566387 0.0104154573886311

310 0.011 600 601.173707326582 -1.1737073265823 0.00195235971280543

320 0.04 600 597.587738121622 2.41226187837833 0.00403666562162188

330 0.08 600 600.026831276761 -0.0268312767607313 4.47167949200515E-05

350 0.35 600 600.342829609248 -0.342829609247815 0.000571056390347756

360 0.65 600 600.826513537962 -0.826513537962001 0.00137562760520517

600 760 600 599.930171305925 0.0698286940747721 0.00011639470294146

330 0.01 625 626.245215699596 -1.24521569959563 0.00198838357304585

335 0.019 625 624.901718762967 0.0982812370331203 0.000157274710697987

340 0.023 625 628.592208438774 -3.59220843877392 0.00571468814049707

345 0.042 625 626.911265902199 -1.91126590219869 0.00304870243390531

350 0.063 625 627.374092779049 -2.37409277904851 0.00378417407791276

360 0.14 625 627.524764127299 -2.52476412729902 0.00402336970846118

625 760 625 625.282464609673 -0.282464609672957 0.000451739214931099

350 0.01 650 650.273195822401 -0.273195822401249 0.000420124686295485

352 0.011 650 651.621255939674 -1.62125593967357 0.00248803415311496

354 0.012 650 653.049298945181 -3.04929894518125 0.0046693242762936

356 0.015 650 652.899567050352 -2.89956705035218 0.0044410613770993

358 0.02 650 651.898051717567 -1.89805171756745 0.00291157752744716

360 0.025 650 651.568629167781 -1.56862916778073 0.00240746576424999

650 760 650 650.713115475191 -0.713115475190534 0.00109589842010449

Analysis:

Auditor:

Analysis date: 2022-3-7 14:29:00