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Anton Antonov
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data1 = {{5.095394399615566`*^-11, 
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added 7 characters in body
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I am kinda new to Mathematica and I have some basic questions. I need to find the best fit curve for a set of data. Here's the data: data = {{5.095394399615566*^-11, 221592.93606333656}, {5.175438872751551*^-11, 1418.2592685868801}, {5.255483345887536*^-11, 180.36535785522187}, {5.335527819023521*^-11, 57.78186440272107}, {5.4155722921595055*^-11, 28.471203122045367}, {5.495616765295491*^-11, 17.64444756164996}, {5.5756612384314755*^-11, 12.479906758697593}, {5.65570571156746*^-11, 9.574931076706036}, {5.7357501847034454*^-11, 7.7461647030921075}, {5.81579465783943*^-11, 6.498661228416742}, {5.895839130975415*^-11, 5.595759399624425}, {5.9758836041114*^-11, 4.912245837241986}, {6.055928077247385*^-11, 4.376431621076272}, {6.135972550383369*^-11, 3.9446016652474}, {6.216017023519355*^-11, 3.588694947456349}, {6.29606149665534*^-11, 3.289917393392387}, {6.376105969791324*^-11, 3.0352250485945325}, {6.456150442927309*^-11, 2.8152869327067567}, {6.536194916063294*^-11, 2.6232528415371474}, {6.616239389199278*^-11, 2.4539797111397714}, {6.696283862335264*^-11, 2.30352986792074}, {6.776328335471249*^-11, 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Here's the data:

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-0.06054971598554415}, {1.7902510101373147^-10,
-0.06258581367135108}, {1.7982554574509133
^-10,
-0.06459564147697883}, {1.8062599047645117^-10,
-0.06657969148579657}, {1.8142643520781104
^-10,
-0.0685384437257901}, {1.8222687993917085^-10,
-0.07047236653434741}, {1.8302732467053072
^-10,
-0.07238191690991425}, {1.8382776940189056^-10,
-0.07426754085104426}, {1.8462821413325042
^-10,
-0.07612967368338897}, {1.8542865886461026^-10,
-0.07796874037510193}, {1.862291035959701
^-10,
-0.07978515584116819}, {1.8702954832732997^-10,
-0.08157932523706046}, {1.878299930586898
^-10,
-0.08335164424221064}, {1.8863043779004968^-10,
-0.08510249933366465}, {1.8943088252140952
^-10,
-0.08683226805033817}, {1.9023132725276936^-10,
-0.08854131924823072}, {1.910317719841292
^-10,
-0.0902300133469831}, {1.9183221671548906^-10,
-0.0918987025680833}, {1.926326614468489
^-10,
-0.09354773116508674}, {1.9343310617820877^-10,
-0.09517743564611703}, {1.942335509095686
^-10,
-0.09678814498900357}, {1.9503399564092845^-10,
-0.09838018084928457}, {1.958344403722883
^-10,
-0.09995385776138122}, {1.9663488510364815^-10,
-0.10150948333319665}, {1.97435329835008
^-10,
-0.10304735843438673}, {1.9823577456636786^-10,
-0.10456777737853873}, {1.990362192977277
^-10,
-0.1060710280994881}, {1.9983666402908754^-10,
-0.10755739232200678}, {2.006371087604474
^-10,
-0.10902714572703642}, {2.0143755349180725^-10,
-0.11048055811171276}, {2.022379982231671
^-10,
-0.1119178935443319}, {2.0303844295452693^-10,
-0.1133394105144725}, {2.038388876858868
^-10,
-0.11474536207843089}, {2.0463933241724663^-10,
-0.11613599600015156}, {2.054397771486065
^-10,
-0.11751155488780496}, {2.0624022187996634^-10,
-0.1188722763261767}, {2.0704066661132618
^-10,
-0.1202183930050067}, {2.0784111134268604^-10,
-0.12155013284343985}, {2.0864155607404588
^-10,
-0.12286771911069971`}};

I am kinda new to Mathematica and I have some basic questions. I need to find the best fit curve for a set of data. Here's the data: data = {{5.095394399615566*^-11, 221592.93606333656}, {5.175438872751551*^-11, 1418.2592685868801}, {5.255483345887536*^-11, 180.36535785522187}, {5.335527819023521*^-11, 57.78186440272107}, {5.4155722921595055*^-11, 28.471203122045367}, {5.495616765295491*^-11, 17.64444756164996}, {5.5756612384314755*^-11, 12.479906758697593}, {5.65570571156746*^-11, 9.574931076706036}, {5.7357501847034454*^-11, 7.7461647030921075}, {5.81579465783943*^-11, 6.498661228416742}, {5.895839130975415*^-11, 5.595759399624425}, {5.9758836041114*^-11, 4.912245837241986}, {6.055928077247385*^-11, 4.376431621076272}, {6.135972550383369*^-11, 3.9446016652474}, {6.216017023519355*^-11, 3.588694947456349}, {6.29606149665534*^-11, 3.289917393392387}, {6.376105969791324*^-11, 3.0352250485945325}, {6.456150442927309*^-11, 2.8152869327067567}, {6.536194916063294*^-11, 2.6232528415371474}, {6.616239389199278*^-11, 2.4539797111397714}, {6.696283862335264*^-11, 2.30352986792074}, {6.776328335471249*^-11, 2.1688362159395167}, {6.856372808607233*^-11, 2.047473128812804}, {6.936417281743218*^-11, 1.937496127951711}, {7.016461754879204*^-11, 1.8373274283575256}, {7.096506228015188*^-11, 1.7456727467120015}, {7.176550701151173*^-11, 1.6614598423826141}, {7.256595174287158*^-11, 1.5837924397392111}, {7.336639647423142*^-11, 1.5119152153834552}, {7.416684120559128*^-11, 1.4451868646156196}, {7.496728593695113*^-11, 1.3830591481970886}, {7.576773066831097*^-11, 1.3250604217076631}, {7.656817539967082*^-11, 1.2707825640480017}, {7.736862013103067*^-11, 1.2198705112768415}, {7.816906486239053*^-11, 1.1720138073421555}, {7.896950959375038*^-11, 1.1269397306544722}, {7.976995432511022*^-11, 1.084407662577183}, {8.057039905647006*^-11, 1.0442044425779882}, {8.137084378782993*^-11, 1.0061405131879546}, {8.217128851918977*^-11, 0.9700467016695216}, {8.29717332505496*^-11, 0.9357715184024515}, {8.377217798190947*^-11, 0.903178877236555}, {8.457262271326931*^-11, 0.8721461624747224}, {8.537306744462916*^-11, 0.8425625821904257}, {8.617351217598902*^-11, 0.814327759321539}, {8.697395690734886*^-11, 0.7873505212046772}, {8.77744016387087*^-11, 0.7615478555071276}, {8.857484637006856*^-11, 0.7368440063159101}, {8.93752911014284*^-11, 0.7131696887869516}, {9.017573583278826*^-11, 0.6904614044939441}, {9.097618056414811*^-11, 0.6686608426391558}, {9.177662529550795*^-11, 0.6477143547458817}, {9.25770700268678*^-11, 0.6275724924597701}, {9.337751475822766*^-11, 0.6081895997337226}, {9.41779594895875*^-11, 0.5895234520290247}, {9.497840422094735*^-11, 0.5715349362892934}, {9.57788489523072*^-11, 0.5541877663779555}, {9.657929368366704*^-11, 0.5374482294495846}, {9.737973841502688*^-11, 0.5212849593747402}, {9.818018314638675*^-11, 0.5056687338959169}, {9.898062787774659*^-11, 0.4905722926381131}, {9.978107260910644*^-11, 0.47597017350513315}, {1.0058151734046629*^-10, 0.4618385653145305}, {1.0138196207182613*^-10, 0.4481551748099921}, {1.0218240680318599*^-10, 0.4348991064305685}, {1.0298285153454584*^-10, 0.42205075342260656}, {1.0378329626590568*^-10, 0.40959169905744197}, {1.0458374099726553*^-10, 0.3975046268704663}, {1.0538418572862538*^-10, 0.3857732389687203}, {1.0618463045998522*^-10, 0.3743821815681021}, {1.0698507519134509*^-10, 0.3633169770199247}, {1.0778551992270493*^-10, 0.3525639616723639}, {1.0858596465406478*^-10, 0.3421102289870661}, {1.0938640938542464*^-10, 0.3319435773964021}, {1.1018685411678448*^-10, 0.3220524624439043}, {1.1098729884814433*^-10, 0.31242595280043206}, {1.1178774357950417*^-10, 0.30305368979253045}, {1.1258818831086402*^-10, 0.2939258501180877}, {1.1338863304222388*^-10, 0.2850331114584601}, {1.1418907777358372*^-10, 0.27636662072630314}, {1.1498952250494357*^-10, 0.2679179647150094}, {1.1578996723630341*^-10, 0.25967914293917227}, {1.1659041196766325*^-10, 0.25164254247648143}, {1.1739085669902311*^-10, 0.24380091464004972}, {1.1819130143038298*^-10, 0.23614735332675174}, {1.1899174616174282*^-10, 0.22867527490191852}, {1.1979219089310266*^-10, 0.22137839949398197}, {1.2059263562446253*^-10, 0.21425073358439706}, {1.2139308035582237*^-10, 0.20728655378885152}, {1.221935250871822*^-10, 0.20048039173513388}, {1.2299396981854207*^-10, 0.19382701995170093}, {1.237944145499019*^-10, 0.18732143868849516}, {1.2459485928126175*^-10, 0.1809588635985957}, {1.2539530401262162*^-10, 0.17473471421543652}, {1.2619574874398143*^-10, 0.1686446031659563}, {1.269961934753413*^-10, 0.16268432606513406}, {1.2779663820670116*^-10, 0.15684985204196078}, {1.28597082938061*^-10, 0.15113731485103488}, {1.2939752766942084*^-10, 0.14554300452775681}, {1.301979724007807*^-10, 0.14006335954856963}, {1.3099841713214055*^-10, 0.13469495946069543}, {1.317988618635004*^-10, 0.12943451794878147}, {1.3259930659486026*^-10, 0.12427887630835555}, {1.3339975132622007*^-10, 0.11922499729839053}, {1.3420019605757994*^-10, 0.1142699593473977}, {1.350006407889398*^-10, 0.10941095108945076}, {1.3580108552029964*^-10, 0.1046452662083297}, {1.3660153025165948*^-10, 0.09997029856958628}, {1.3740197498301935*^-10, 0.09538353762188789}, {1.3820241971437919*^-10, 0.09088256405032613}, {1.3900286444573903*^-10, 0.0864650456659457}, {1.398033091770989*^-10, 0.08212873351489902}, {1.4060375390845873*^-10, 0.07787145819775398}, {1.4140419863981857*^-10, 0.07369112638033126}, {1.4220464337117844*^-10, 0.06958571748851083}, {1.4300508810253828*^-10, 0.06555328057416032}, {1.4380553283389812*^-10, 0.06159193134217045}, {1.4460597756525798*^-10, 0.057699849328957775}, {1.454064222966178*^-10, 0.05387527522349567}, {1.4620686702797766*^-10, 0.05011650832249526}, {1.4700731175933753*^-10, 0.046421904111937806}, {1.4780775649069737*^-10, 0.042789871967679804}, {1.486082012220572*^-10, 0.0392188729683185}, {1.4940864595341708*^-10, 0.03570741781395004}, {1.5020909068477692*^-10, 0.03225406484486637}, {1.5100953541613676*^-10, 0.028857418154628167}, {1.5180998014749662*^-10, 0.025516125792270028}, {1.526104248788565*^-10, 0.022228878048787593}, {1.534108696102163*^-10, 0.0189944058232685}, {1.5421131434157617*^-10, 0.015811479064405276}, {1.55011759072936*^-10, 0.012678905283348474}, {1.5581220380429585*^-10, 0.009595528134082265}, {1.5661264853565571*^-10, 0.006560226057792828}, {1.5741309326701558*^-10, 0.003571910987858473}, {1.582135379983754*^-10, 0.0006295271123315516}, {1.5901398272973526*^-10, \ -0.002267950309073008}, {1.598144274610951*^-10, \ -0.005121516076247445}, {1.6061487219245494*^-10, \ -0.007932136130866407}, {1.614153169238148*^-10, \ -0.01070074859192438}, {1.6221576165517465*^-10, \ -0.013428264746988106}, {1.6301620638653449*^-10, \ -0.0161155700013369}, {1.6381665111789435*^-10, \ -0.01876352478710208}, {1.6461709584925422*^-10, \ -0.021372965434321767}, {1.6541754058061406*^-10, \ -0.02394470500581125}, {1.662179853119739*^-10, \ -0.02647953409753967}, {1.6701843004333374*^-10, \ -0.028978221606220878}, {1.678188747746936*^-10, \ -0.03144151546563778}, {1.6861931950605344*^-10, \ -0.03387014335319316}, {1.694197642374133*^-10, \ -0.03626481336809828}, {1.7022020896877312*^-10, \ -0.03862621468248584}, {1.71020653700133*^-10, \ -0.04095501816674396}, {1.7182109843149283*^-10, \ -0.04325187699022637}, {1.726215431628527*^-10, \ -0.0455174271984653}, {1.7342198789421253*^-10, \ -0.04775228826797795}, {1.7422243262557237*^-10, \ -0.0499570636396478}, {1.7502287735693221*^-10, \ -0.05213234123165833}, {1.7582332208829208*^-10, \ -0.054278693932880095}, {1.7662376681965192*^-10, \ -0.05639668007758303}, {1.7742421155101179*^-10, \ -0.05848684390228964}, {1.7822465628237163*^-10, \ -0.06054971598554415}, {1.7902510101373147*^-10, \ -0.06258581367135108}, {1.7982554574509133*^-10, \ -0.06459564147697883}, {1.8062599047645117*^-10, \ -0.06657969148579657}, {1.8142643520781104*^-10, \ -0.0685384437257901}, {1.8222687993917085*^-10, \ -0.07047236653434741}, {1.8302732467053072*^-10, \ -0.07238191690991425}, {1.8382776940189056*^-10, \ -0.07426754085104426}, {1.8462821413325042*^-10, \ -0.07612967368338897}, {1.8542865886461026*^-10, \ -0.07796874037510193}, {1.862291035959701*^-10, \ -0.07978515584116819}, {1.8702954832732997*^-10, \ -0.08157932523706046}, {1.878299930586898*^-10, \ -0.08335164424221064}, {1.8863043779004968*^-10, \ -0.08510249933366465}, {1.8943088252140952*^-10, \ -0.08683226805033817}, {1.9023132725276936*^-10, \ -0.08854131924823072}, {1.910317719841292*^-10, \ -0.0902300133469831}, {1.9183221671548906*^-10, \ -0.0918987025680833}, {1.926326614468489*^-10, \ -0.09354773116508674}, {1.9343310617820877*^-10, \ -0.09517743564611703}, {1.942335509095686*^-10, \ -0.09678814498900357}, {1.9503399564092845*^-10, \ -0.09838018084928457}, {1.958344403722883*^-10, \ -0.09995385776138122}, {1.9663488510364815*^-10, \ -0.10150948333319665}, {1.97435329835008*^-10, \ -0.10304735843438673}, {1.9823577456636786*^-10, \ -0.10456777737853873}, {1.990362192977277*^-10, \ -0.1060710280994881}, {1.9983666402908754*^-10, \ -0.10755739232200678}, {2.006371087604474*^-10, \ -0.10902714572703642}, {2.0143755349180725*^-10, \ -0.11048055811171276}, {2.022379982231671*^-10, \ -0.1119178935443319}, {2.0303844295452693*^-10, \ -0.1133394105144725}, {2.038388876858868*^-10, \ -0.11474536207843089}, {2.0463933241724663*^-10, \ -0.11613599600015156}, {2.054397771486065*^-10, \ -0.11751155488780496}, {2.0624022187996634*^-10, \ -0.1188722763261767}, {2.0704066661132618*^-10, \ -0.1202183930050067}, {2.0784111134268604*^-10, \ -0.12155013284343985}, {2.0864155607404588*^-10, \ -0.12286771911069971}};

I am kinda new to Mathematica and I have some basic questions. I need to find the best fit curve for a set of data. Here's the data:

data1 = {{5.095394399615566`*^-11, 
221592.93606333656`}, {5.175438872751551`*^-11, 
1418.2592685868801`}, {5.255483345887536`*^-11, 
180.36535785522187`}, {5.335527819023521`*^-11, 
57.78186440272107`}, {5.4155722921595055`*^-11, 
28.471203122045367`}, {5.495616765295491`*^-11, 
17.64444756164996`}, {5.5756612384314755`*^-11, 
12.479906758697593`}, {5.65570571156746`*^-11, 
9.574931076706036`}, {5.7357501847034454`*^-11, 
7.7461647030921075`}, {5.81579465783943`*^-11, 
6.498661228416742`}, {5.895839130975415`*^-11, 
5.595759399624425`}, {5.9758836041114`*^-11, 
4.912245837241986`}, {6.055928077247385`*^-11, 
4.376431621076272`}, {6.135972550383369`*^-11, 
3.9446016652474`}, {6.216017023519355`*^-11, 
3.588694947456349`}, {6.29606149665534`*^-11, 
3.289917393392387`}, {6.376105969791324`*^-11, 
3.0352250485945325`}, {6.456150442927309`*^-11, 
2.8152869327067567`}, {6.536194916063294`*^-11, 
2.6232528415371474`}, {6.616239389199278`*^-11, 
2.4539797111397714`}, {6.696283862335264`*^-11, 
2.30352986792074`}, {6.776328335471249`*^-11, 
2.1688362159395167`}, {6.856372808607233`*^-11, 
2.047473128812804`}, {6.936417281743218`*^-11, 
1.937496127951711`}, {7.016461754879204`*^-11, 
1.8373274283575256`}, {7.096506228015188`*^-11, 
1.7456727467120015`}, {7.176550701151173`*^-11, 
1.6614598423826141`}, {7.256595174287158`*^-11, 
1.5837924397392111`}, {7.336639647423142`*^-11, 
1.5119152153834552`}, {7.416684120559128`*^-11, 
1.4451868646156196`}, {7.496728593695113`*^-11, 
1.3830591481970886`}, {7.576773066831097`*^-11, 
1.3250604217076631`}, {7.656817539967082`*^-11, 
1.2707825640480017`}, {7.736862013103067`*^-11, 
1.2198705112768415`}, {7.816906486239053`*^-11, 
1.1720138073421555`}, {7.896950959375038`*^-11, 
1.1269397306544722`}, {7.976995432511022`*^-11, 
1.084407662577183`}, {8.057039905647006`*^-11, 
1.0442044425779882`}, {8.137084378782993`*^-11, 
1.0061405131879546`}, {8.217128851918977`*^-11, 
0.9700467016695216`}, {8.29717332505496`*^-11, 
0.9357715184024515`}, {8.377217798190947`*^-11, 
0.903178877236555`}, {8.457262271326931`*^-11, 
0.8721461624747224`}, {8.537306744462916`*^-11, 
0.8425625821904257`}, {8.617351217598902`*^-11, 
0.814327759321539`}, {8.697395690734886`*^-11, 
0.7873505212046772`}, {8.77744016387087`*^-11, 
0.7615478555071276`}, {8.857484637006856`*^-11, 
0.7368440063159101`}, {8.93752911014284`*^-11, 
0.7131696887869516`}, {9.017573583278826`*^-11, 
0.6904614044939441`}, {9.097618056414811`*^-11, 
0.6686608426391558`}, {9.177662529550795`*^-11, 
0.6477143547458817`}, {9.25770700268678`*^-11, 
0.6275724924597701`}, {9.337751475822766`*^-11, 
0.6081895997337226`}, {9.41779594895875`*^-11, 
0.5895234520290247`}, {9.497840422094735`*^-11, 
0.5715349362892934`}, {9.57788489523072`*^-11, 
0.5541877663779555`}, {9.657929368366704`*^-11, 
0.5374482294495846`}, {9.737973841502688`*^-11, 
0.5212849593747402`}, {9.818018314638675`*^-11, 
0.5056687338959169`}, {9.898062787774659`*^-11, 
0.4905722926381131`}, {9.978107260910644`*^-11, 
0.47597017350513315`}, {1.0058151734046629`*^-10, 
0.4618385653145305`}, {1.0138196207182613`*^-10, 
0.4481551748099921`}, {1.0218240680318599`*^-10, 
0.4348991064305685`}, {1.0298285153454584`*^-10, 
0.42205075342260656`}, {1.0378329626590568`*^-10, 
0.40959169905744197`}, {1.0458374099726553`*^-10, 
0.3975046268704663`}, {1.0538418572862538`*^-10, 
0.3857732389687203`}, {1.0618463045998522`*^-10, 
0.3743821815681021`}, {1.0698507519134509`*^-10, 
0.3633169770199247`}, {1.0778551992270493`*^-10, 
0.3525639616723639`}, {1.0858596465406478`*^-10, 
0.3421102289870661`}, {1.0938640938542464`*^-10, 
0.3319435773964021`}, {1.1018685411678448`*^-10, 
0.3220524624439043`}, {1.1098729884814433`*^-10, 
0.31242595280043206`}, {1.1178774357950417`*^-10, 
0.30305368979253045`}, {1.1258818831086402`*^-10, 
0.2939258501180877`}, {1.1338863304222388`*^-10, 
0.2850331114584601`}, {1.1418907777358372`*^-10, 
0.27636662072630314`}, {1.1498952250494357`*^-10, 
0.2679179647150094`}, {1.1578996723630341`*^-10, 
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Best fit curve for a list of data

I am kinda new to Mathematica and I have some basic questions. I need to find the best fit curve for a set of data. Here's the data: data = {{5.095394399615566*^-11, 221592.93606333656}, {5.175438872751551*^-11, 1418.2592685868801}, {5.255483345887536*^-11, 180.36535785522187}, {5.335527819023521*^-11, 57.78186440272107}, {5.4155722921595055*^-11, 28.471203122045367}, {5.495616765295491*^-11, 17.64444756164996}, {5.5756612384314755*^-11, 12.479906758697593}, {5.65570571156746*^-11, 9.574931076706036}, {5.7357501847034454*^-11, 7.7461647030921075}, {5.81579465783943*^-11, 6.498661228416742}, {5.895839130975415*^-11, 5.595759399624425}, {5.9758836041114*^-11, 4.912245837241986}, {6.055928077247385*^-11, 4.376431621076272}, {6.135972550383369*^-11, 3.9446016652474}, {6.216017023519355*^-11, 3.588694947456349}, {6.29606149665534*^-11, 3.289917393392387}, {6.376105969791324*^-11, 3.0352250485945325}, {6.456150442927309*^-11, 2.8152869327067567}, {6.536194916063294*^-11, 2.6232528415371474}, {6.616239389199278*^-11, 2.4539797111397714}, {6.696283862335264*^-11, 2.30352986792074}, {6.776328335471249*^-11, 2.1688362159395167}, {6.856372808607233*^-11, 2.047473128812804}, {6.936417281743218*^-11, 1.937496127951711}, {7.016461754879204*^-11, 1.8373274283575256}, {7.096506228015188*^-11, 1.7456727467120015}, {7.176550701151173*^-11, 1.6614598423826141}, {7.256595174287158*^-11, 1.5837924397392111}, {7.336639647423142*^-11, 1.5119152153834552}, {7.416684120559128*^-11, 1.4451868646156196}, {7.496728593695113*^-11, 1.3830591481970886}, {7.576773066831097*^-11, 1.3250604217076631}, {7.656817539967082*^-11, 1.2707825640480017}, {7.736862013103067*^-11, 1.2198705112768415}, {7.816906486239053*^-11, 1.1720138073421555}, {7.896950959375038*^-11, 1.1269397306544722}, {7.976995432511022*^-11, 1.084407662577183}, {8.057039905647006*^-11, 1.0442044425779882}, {8.137084378782993*^-11, 1.0061405131879546}, {8.217128851918977*^-11, 0.9700467016695216}, {8.29717332505496*^-11, 0.9357715184024515}, {8.377217798190947*^-11, 0.903178877236555}, {8.457262271326931*^-11, 0.8721461624747224}, {8.537306744462916*^-11, 0.8425625821904257}, {8.617351217598902*^-11, 0.814327759321539}, {8.697395690734886*^-11, 0.7873505212046772}, {8.77744016387087*^-11, 0.7615478555071276}, {8.857484637006856*^-11, 0.7368440063159101}, {8.93752911014284*^-11, 0.7131696887869516}, {9.017573583278826*^-11, 0.6904614044939441}, {9.097618056414811*^-11, 0.6686608426391558}, {9.177662529550795*^-11, 0.6477143547458817}, {9.25770700268678*^-11, 0.6275724924597701}, {9.337751475822766*^-11, 0.6081895997337226}, {9.41779594895875*^-11, 0.5895234520290247}, {9.497840422094735*^-11, 0.5715349362892934}, {9.57788489523072*^-11, 0.5541877663779555}, {9.657929368366704*^-11, 0.5374482294495846}, {9.737973841502688*^-11, 0.5212849593747402}, {9.818018314638675*^-11, 0.5056687338959169}, {9.898062787774659*^-11, 0.4905722926381131}, {9.978107260910644*^-11, 0.47597017350513315}, {1.0058151734046629*^-10, 0.4618385653145305}, {1.0138196207182613*^-10, 0.4481551748099921}, {1.0218240680318599*^-10, 0.4348991064305685}, {1.0298285153454584*^-10, 0.42205075342260656}, {1.0378329626590568*^-10, 0.40959169905744197}, {1.0458374099726553*^-10, 0.3975046268704663}, {1.0538418572862538*^-10, 0.3857732389687203}, {1.0618463045998522*^-10, 0.3743821815681021}, {1.0698507519134509*^-10, 0.3633169770199247}, {1.0778551992270493*^-10, 0.3525639616723639}, {1.0858596465406478*^-10, 0.3421102289870661}, {1.0938640938542464*^-10, 0.3319435773964021}, {1.1018685411678448*^-10, 0.3220524624439043}, {1.1098729884814433*^-10, 0.31242595280043206}, {1.1178774357950417*^-10, 0.30305368979253045}, {1.1258818831086402*^-10, 0.2939258501180877}, {1.1338863304222388*^-10, 0.2850331114584601}, {1.1418907777358372*^-10, 0.27636662072630314}, {1.1498952250494357*^-10, 0.2679179647150094}, {1.1578996723630341*^-10, 0.25967914293917227}, {1.1659041196766325*^-10, 0.25164254247648143}, {1.1739085669902311*^-10, 0.24380091464004972}, {1.1819130143038298*^-10, 0.23614735332675174}, {1.1899174616174282*^-10, 0.22867527490191852}, {1.1979219089310266*^-10, 0.22137839949398197}, {1.2059263562446253*^-10, 0.21425073358439706}, {1.2139308035582237*^-10, 0.20728655378885152}, {1.221935250871822*^-10, 0.20048039173513388}, {1.2299396981854207*^-10, 0.19382701995170093}, {1.237944145499019*^-10, 0.18732143868849516}, {1.2459485928126175*^-10, 0.1809588635985957}, {1.2539530401262162*^-10, 0.17473471421543652}, {1.2619574874398143*^-10, 0.1686446031659563}, {1.269961934753413*^-10, 0.16268432606513406}, {1.2779663820670116*^-10, 0.15684985204196078}, {1.28597082938061*^-10, 0.15113731485103488}, {1.2939752766942084*^-10, 0.14554300452775681}, {1.301979724007807*^-10, 0.14006335954856963}, {1.3099841713214055*^-10, 0.13469495946069543}, {1.317988618635004*^-10, 0.12943451794878147}, {1.3259930659486026*^-10, 0.12427887630835555}, {1.3339975132622007*^-10, 0.11922499729839053}, {1.3420019605757994*^-10, 0.1142699593473977}, {1.350006407889398*^-10, 0.10941095108945076}, {1.3580108552029964*^-10, 0.1046452662083297}, {1.3660153025165948*^-10, 0.09997029856958628}, {1.3740197498301935*^-10, 0.09538353762188789}, {1.3820241971437919*^-10, 0.09088256405032613}, {1.3900286444573903*^-10, 0.0864650456659457}, {1.398033091770989*^-10, 0.08212873351489902}, {1.4060375390845873*^-10, 0.07787145819775398}, {1.4140419863981857*^-10, 0.07369112638033126}, {1.4220464337117844*^-10, 0.06958571748851083}, {1.4300508810253828*^-10, 0.06555328057416032}, {1.4380553283389812*^-10, 0.06159193134217045}, {1.4460597756525798*^-10, 0.057699849328957775}, {1.454064222966178*^-10, 0.05387527522349567}, {1.4620686702797766*^-10, 0.05011650832249526}, {1.4700731175933753*^-10, 0.046421904111937806}, {1.4780775649069737*^-10, 0.042789871967679804}, {1.486082012220572*^-10, 0.0392188729683185}, {1.4940864595341708*^-10, 0.03570741781395004}, {1.5020909068477692*^-10, 0.03225406484486637}, {1.5100953541613676*^-10, 0.028857418154628167}, {1.5180998014749662*^-10, 0.025516125792270028}, {1.526104248788565*^-10, 0.022228878048787593}, {1.534108696102163*^-10, 0.0189944058232685}, {1.5421131434157617*^-10, 0.015811479064405276}, {1.55011759072936*^-10, 0.012678905283348474}, {1.5581220380429585*^-10, 0.009595528134082265}, {1.5661264853565571*^-10, 0.006560226057792828}, {1.5741309326701558*^-10, 0.003571910987858473}, {1.582135379983754*^-10, 0.0006295271123315516}, {1.5901398272973526*^-10, \ -0.002267950309073008}, {1.598144274610951*^-10, \ -0.005121516076247445}, {1.6061487219245494*^-10, \ -0.007932136130866407}, {1.614153169238148*^-10, \ -0.01070074859192438}, {1.6221576165517465*^-10, \ -0.013428264746988106}, {1.6301620638653449*^-10, \ -0.0161155700013369}, {1.6381665111789435*^-10, \ -0.01876352478710208}, {1.6461709584925422*^-10, \ -0.021372965434321767}, {1.6541754058061406*^-10, \ -0.02394470500581125}, {1.662179853119739*^-10, \ -0.02647953409753967}, {1.6701843004333374*^-10, \ -0.028978221606220878}, {1.678188747746936*^-10, \ -0.03144151546563778}, {1.6861931950605344*^-10, \ -0.03387014335319316}, {1.694197642374133*^-10, \ -0.03626481336809828}, {1.7022020896877312*^-10, \ -0.03862621468248584}, {1.71020653700133*^-10, \ -0.04095501816674396}, {1.7182109843149283*^-10, \ -0.04325187699022637}, {1.726215431628527*^-10, \ -0.0455174271984653}, {1.7342198789421253*^-10, \ -0.04775228826797795}, {1.7422243262557237*^-10, \ -0.0499570636396478}, {1.7502287735693221*^-10, \ -0.05213234123165833}, {1.7582332208829208*^-10, \ -0.054278693932880095}, {1.7662376681965192*^-10, \ -0.05639668007758303}, {1.7742421155101179*^-10, \ -0.05848684390228964}, {1.7822465628237163*^-10, \ -0.06054971598554415}, {1.7902510101373147*^-10, \ -0.06258581367135108}, {1.7982554574509133*^-10, \ -0.06459564147697883}, {1.8062599047645117*^-10, \ -0.06657969148579657}, {1.8142643520781104*^-10, \ -0.0685384437257901}, {1.8222687993917085*^-10, \ -0.07047236653434741}, {1.8302732467053072*^-10, \ -0.07238191690991425}, {1.8382776940189056*^-10, \ -0.07426754085104426}, {1.8462821413325042*^-10, \ -0.07612967368338897}, {1.8542865886461026*^-10, \ -0.07796874037510193}, {1.862291035959701*^-10, \ -0.07978515584116819}, {1.8702954832732997*^-10, \ -0.08157932523706046}, {1.878299930586898*^-10, \ -0.08335164424221064}, {1.8863043779004968*^-10, \ -0.08510249933366465}, {1.8943088252140952*^-10, \ -0.08683226805033817}, {1.9023132725276936*^-10, \ -0.08854131924823072}, {1.910317719841292*^-10, \ -0.0902300133469831}, {1.9183221671548906*^-10, \ -0.0918987025680833}, {1.926326614468489*^-10, \ -0.09354773116508674}, {1.9343310617820877*^-10, \ -0.09517743564611703}, {1.942335509095686*^-10, \ -0.09678814498900357}, {1.9503399564092845*^-10, \ -0.09838018084928457}, {1.958344403722883*^-10, \ -0.09995385776138122}, {1.9663488510364815*^-10, \ -0.10150948333319665}, {1.97435329835008*^-10, \ -0.10304735843438673}, {1.9823577456636786*^-10, \ -0.10456777737853873}, {1.990362192977277*^-10, \ -0.1060710280994881}, {1.9983666402908754*^-10, \ -0.10755739232200678}, {2.006371087604474*^-10, \ -0.10902714572703642}, {2.0143755349180725*^-10, \ -0.11048055811171276}, {2.022379982231671*^-10, \ -0.1119178935443319}, {2.0303844295452693*^-10, \ -0.1133394105144725}, {2.038388876858868*^-10, \ -0.11474536207843089}, {2.0463933241724663*^-10, \ -0.11613599600015156}, {2.054397771486065*^-10, \ -0.11751155488780496}, {2.0624022187996634*^-10, \ -0.1188722763261767}, {2.0704066661132618*^-10, \ -0.1202183930050067}, {2.0784111134268604*^-10, \ -0.12155013284343985}, {2.0864155607404588*^-10, \ -0.12286771911069971}};

I have used FindFit with the functions of the form:

FindFit[data, {b*x^a}, {a, b}, x, MaxIterations -> 1000]

and

FindFit[data, {a/x^2}, {a}, x, MaxIterations -> 10000]

But I still can't find the best fitting curve for the data. Any help is appreciated. Also is there a way to measure the accuracy of my fitting to the data using Mathematica commands? Thank you!