RLS 1ModelUpayaTangkapanx.y2006.412802005.61120SUMMARY OUTPUT200612002107.51575Regression Statistics2106.51365koefesien korelasiMultiple R0.92521237332208.31826koefesien determinasiR Square0.85601793572207.71694Adjusted R Square0.840019928623011.72691errorStandard Error2.008213902223010.32369jumlah dataObservations1124017.64224240184320ANOVADBJKKTFhitFtab24018.44416dfSSMSFSignificance FJumlah (EX)264012428080regresiRegression1215.7927832168215.792783216853.50778556910.0000449244Jumlah kuadrat (EXX) = EX^25836001550.383739836sisaResidual936.29630769234.0329230769Jumlah dikuadratkan (EX)^2696960015376788486400totalTotal10252.0890909091Rata-rata22010.33333333332340CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95,0%Upper 95,0%b10.2857142857syarat r:b0Intercept-56.33230769239.1825440262-6.1347168640.0001718643-77.1046653914-35.5599499932-77.1046653914-35.5599499932b0-52.5238095238y=a+bxr mendekati 1 berarti x dan y eratb12000.30215384620.04130661797.31490161040.00004492440.20871178470.39559590760.20871178470.3955959076y=bo+bix dimutlakan --> relasi positif14.09846153851.5015384615KTR228.5714285714y=4.61904761924.09846153851.9015384615KTS4.039523809537.120.38Fhit56.583755746847.12-0.62Ftab4.9646027011510.1415384615-1.8415384615r0.9218531435610.1415384615-2.4415384615r285%jadi, determinasi punya dua definisi. bisa menggambarkan keragaman y yang digambarkan x sebesar 85% atau pendugaan ini mampu menggambarkan kondisi sesungguhnya sebesar 85%713.1630769231-1.4630769231813.1630769231-2.8630769231916.18461538461.4153846154H0b1=01016.18461538461.8153846154H1b101116.18461538462.2153846154kesimpulan: fhit > ftab, maka tolak HO = upaya mempengaruhi hasil tangkapan

RLS 2UpayaTangkapanXYctrl+shift+enter2006.412006.4X'X (2x2)122640blok 42005.612005.62x12 dan 12 x226405836002006120062107.512107.5(X'X)-117.369047619-0.0785714286blok 4 (invers X'X)2106.512106.5-0.07857142860.00035714292208.312208.32207.712207.7X'Y (2x1)124blok 223011.7123011.72808023010.3123010.324017.6124017.6BB0-52.5238095238x'x2x2maka B = 2x124018124018B10.2857142857x'y2x124018.4124018.4X'X-1 dan X'YORDO12X212X1124FK = (Eyi)2 / n nn 15376JKT = Y'Y-FKJKR = B'XY-FKJKS = Y'Y-B'X'Y = JKT-JKRFK1281.3333333333Y'Y1550.3JKT268.9666666667B'X'Y1509.90476190481x1 karena 1x2 dan 1x2JKR228.5714285714JKS40.3952380952dbr1dbt11dbs10KTR228.5714285714KTS4.0395238095Fhit56.5837557468Ftab4.9646027011H0b1=0H1b10KesimpulanFhit>Ftab-->tolak H0InterpretasiUpaya mempengaruhi hasil tangkapan

RLS 3pakanpenambahan bobot50.570.3SUMMARY OUTPUT100.8111.2Regression Statistics7.84Multiple R0.8346303014R Square0.6966077401150.5Adjusted R Square0.5449116101170.3Standard Error0.2641594591100.8Observations41111.27.84ANOVAdfSSMSFSignificance Fx'x433Regression10.32043956040.32043956044.59212598430.165369698533295Residual20.13956043960.0697802198Total30.46x'x-13.2417582418-0.3626373626-0.36263736260.043956044CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95,0%Upper 95,0%Intercept-0.27912087910.4756160243-0.58686180630.6167171725-2.32553146441.7672897061-2.32553146441.7672897061x'y2.8pakan0.11868131870.05538287112.14292463340.1653696985-0.11961194270.3569745801-0.11961194270.356974580125.82.825.8RESIDUAL OUTPUT

ObservationPredicted penambahan bobotResidualsb0-0.279120879110.31428571430.1857142857b10.118681318720.5516483516-0.251648351630.9076923077-0.107692307741.02637362640.1736263736FK1.96 = (Eyi)2 / nY'Y2.42JKT0.46 = Y'Y-FKB'X'Y2.2804395604 JKR0.32043956040.32 =B'X'Y - FKJKS0.13956043960.14= Y'Y-B'X'Y atau JKT-JKRdbr1dbt3dbs2KTR0.3204395604KTS0.0697802198Fhit4.5921259843Ftab18.5128205111

RLS 4Konsentrasi o2 (mg/L)Penambahan bobot(g)xy5201520X'X (2x2)62441814182x6 dan 6 x22411262316233151315(X'X)-11.1666666667-0.2515115-0.250.0625519151910000X'Y (2x1)100455B02.9166666667Y=2,91667 +3,475xB13.4375setiap kenaikan 02 sebesar 1 mg?L akan emningatkan bobot sebesar 3,4375 gFK1666.6666666667Y'Y1864JKT197.3333333333B'X'Y1855.7291666667JKR189.0625JKS8.2708333333dbr1dbt5dbs4KTR189.0625KTS2.0677083333Fhit91.435768262Ftab7.7086474213H0B1=0H1B10KesimpulanFhit>Ftab-->tolak H0Interpretasikonsentrasi o2 mempengaruhi peningkatan bobot

RLS 5xy1113411723X'X (2x2)568112282x6 dan 6 x2689481133211519(X'X)-18.1724137931-0.58620689661165x25x1-0.58620689660.04310344838.1724137931-0.586206896618496X'Y (2x1)1360.04310344831802B055.1034482759B1-2.0517241379FK3699.2Y'Y3854JKT154.8B'X'Y3796.8620689656JKR97.6620689656JKS57.1379310344dbr1dbt4dbs3KTR97.6620689656KTS19.0459770115Fhit5.1277006639Ftab10.1279644835

RLB 1RLBX1X2Y127512X'X 4110263x4 dan 4x3 = 3x312561011030387211287926721174 13085(X'X)-175.6120689655-3.39655172412.775862069 4x34x1-3.39655172410.1724137931-0.2068965517Regression Statistics12962.775862069-0.20689655170.4482758621Multiple R0.9669608382X'Y36R Square0.9350132626976Adjusted R Square-0.1949602122223Standard Error1.2998673672x'x-1 dan x'yB026.0172413793Observations4B1-0.1379310345-2.0344827586ANOVAEy2/nFK324dfSSMSFSignificance FY'Y350Regression324.31034482768.10344827597.193877551ERROR:#NUM!Y'Y-FKJKT262722.0344827586-3315.0344827586619.017241379326.0172413793Residual11.68965517241.68965517242x1 dan 3x1 = 2x1B'X'Y348.3103448276-122.275862069168.275862069-46.1379310345-0.137931034536Total42699.9310344828-201.931034482899.9655172414-2.0344827586B'X'Y-FKJKR24.3103448276CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95,0%Upper 95,0%JKT-JKRJKS1.6896551724Intercept26.017241379311.30302275612.30179501010.2609136178-117.6012798724169.635762631-117.6012798724169.635762631jumlah xdbr20065535ERROR:#NUM!0000jumlah variabel-1dbt3X1-0.13793103450.5397405463-0.2555506260.8407203301-6.99598491896.72012285-6.99598491896.72012285dbt-dbrdbs1X2-2.03448275860.8703054803-2.33766511270.2573348685-13.09276237229.023796855-13.09276237229.023796855JKR/DBRKTR12.1551724138JKS/DBSKTS1.6896551724KTR/KTSFhit7.1938775511Ftab199.4999999648RESIDUAL OUTPUT

ObservationPredicted YResiduals112.1206896552-0.1206896552210.3620689655-0.362068965537.91379310341.086206896645.6034482759-0.6034482759

RLB 2yx1x2xy6042351423560X'X 51551384423341233444155518743654133221332241138436539825038261382650(X'X)-15.4661753713-0.0506541692-0.13390927993419211192134-0.05065416920.0029559643-0.001484808952441-0.1339092799-0.00148480890.0065195056tentukan modelX'Y229uji hipotesis apakah x1 dan x2 berpengaruh terhadap y74316512B03.3257977861manualB10.6968907761B20.7561807303X'X =5155138FK10488.215551874365436.45578Y'Y1087313843653982376.2519655797JKT384.8(X'X)-1=a11a12a13B'X'Y10864.4519655797a21a22a23a31a32a33JKR376.2519655797JKS8.5480344203a11 =a22*a33-a32*a23dbr2a12 =a21*a33-a31*a23dbt4a13 =a21*a32-a31*a22dbs3a21 =a12*a33-a32*a13KTR188.1259827899a22 =a11*a33-a31*a13KTS2.8493448068a23 =a11*a32-a31*a12Fhit66.02429525a31 =a12*a23-a22*a13Ftab9.5520944959a32 =a11*a23-a21*a13a33 =a11*a22-a21*a12(X'X)-1a11116014091601409a12-114840-14840a131-39231-39231a21-114840-14840a221866866a23-1435-435a311-39231-39231a32-1435-435a331191019102.775862069cara dapat 292967X'X51551381555187436513843653982(X'X)-11601409-14840-39231-14840866-435-39231-4351910 = 5*1601409+155*-14840+138*-39231 = 292967(X'X)-1 -->____1____x1601409-14840-39231292967-14840866-435-39231-4351910 -->5.4661753713-0.0506541692-0.1339092799-0.05065416920.0029559643-0.0014848089-0.1339092799-0.00148480890.0065195056

RLB 3jumlah pancinghaulingjumlah ABKGTpanjang main lineTriphasil tangkapanx1x2x3x4x5x6y5111236115375149711225881417311041082010014743203910024811778410615131199515168234x1x2x3x4x5x6y151112361153751491711225881417311014108201001474320319100248117784106115131199515168234

x1x2x3x4x5x6yx11x20.70342700321x3-0.3766818791-0.62951101691x40.28271507970.2907660339-0.52687210061x50.1918052427-0.48340262230.2050335318-0.2890808421x60.3343826201-0.14215871890.6469357109-0.63012135250.55525338891y0.37930077120.730842995-0.98348702930.496955939-0.3537369152-0.64752578961

RLB 4x1x2x3x1x3x4yX'X540111425523611494039687134757258811011187124919352420100203425347593523705192481106(X'X)-158.3826676408-0.2628353655-1.6797155353-0.221062351411.29200024012.3241393077-108.1020831321-690.85356193-90.9211764636151995234-0.26283536550.01551117720.0082341321-0.00051825630411.29200-108.10208313216.3796230953.3866326596-0.2131546667643204-1.67971553530.00823413210.05602272640.004354564100411.2920-690.853561933.386632659623.04169920581.79099739165x45x1-0.221062351-0.00051825630.00435456410.0015122009000411.292-90.9211764636-0.21315466671.79099739160.6219561377X'Y802x1x3x4y4x5 dan 4x1679115236114917227411.2921745568411.2921745568411.2921745568411.292174556817258811069885411.2921745568411.2921745568411.2921745568411.29217455681420100203B652.5825560643411.2921745568411.2921745568411.2921745568411.29217455681924811060.1734940372411.2921745568411.2921745568411.2921745568411.29217455681151995234-21.7916452241-0.1152468751V(B)24012.33433039866.3796258025FK128640.823.0417089849Y'Y1415020.6219564017B'X'Y141090.707825443JKT12861.2JKR12449.9078254432thitttabBBBAJKS411.29217455684.211320262325.451699575S(B)154.959137615sb 0-3291.39086091324596.5559730417jumlah xdbr30.06868896152.5257921139sb 1-64.112208034164.4591961085jumlah variabel-1dbt4-4.53975772394.800178016sb 2-143.9643339928100.3810435447dbt-dbrdbs1-0.14613329860.7886421252sb 3-20.187529318219.9570355679darKTR4149.9692751477V(B)KTS411.2921745568Fhit10.0900759408Ftab215.7073453325

PR 2Hasil tangkapanaruscodkekeruhansuhu5012.515.454247010.61656266011.715.65325.54010.817502880131351254011185226

Teori RAL, RK, RFRAL dengan ulangan dan perlakuanRK (rancangan kelompok) dengan kelompok dan perlakuananova two factors without replicationRF (rancangan faktorial) dengan 2 faktor dan ada ulangan dalam faktoranova two factors wit replicationFaktor BFaktor aA1A2A3B1ulangan ke-1B2ulangan ke-2

RAL 1seseorang menyatakan kandungan klorofil diperairan akan mempengaruhi keberadaan ikan.untuk itu seseorang melakukan peneltian dengan hasil sbb:Anova: Single Factorulangankandungan klorofil254060SUMMARY19.411.512.388.36132.25151.29GroupsCountSumAverageVariance28.710.815.675.69116.64243.36Column 1435.48.850.736666666737.79.918.159.2998.01327.61Column 2443.910.9750.662549.611.712.992.16136.89166.41Column 3458.914.7257.1225ujilah apakah klorofil berbeda akan memberikan pengaruh berbeda terhadap keberadaan ikanANOVASource of VariationSSdfMSFP-valueF critulangankandungan klorofilBetween Groups70.7916666667235.395833333312.46088402110.00255233774.2564947291254060Within Groups25.56592.840555555619.411.512.388.36132.25151.2928.710.815.675.69116.64243.36Total96.35666666671137.79.918.159.2998.01327.6149.611.712.992.16136.89166.41Eyi35.443.958.9138.2rataan8.8510.97514.72511.5166666667Eyij138.2Eyij21687.96FK1591.60333333331591.6033333333JKT96.3566666667data-fkJKP70.7916666667Yi/jumlah ulangan-FKJKS25.565Dbp2DBS9DBT11KTP35.3958333333minimal ada 1 Ti 0KTS2.8405555556Fhit > Ftab --> tolak H0Ftab4.2564947291Klorofil berbeda memberikan pengaruh berbeda terhadap keberadaan ikanFhit12.4608840211

Sheet3ulangan15.695.675.595.525.695.65.585.235.75.525.55.5j17.0816.7916.6716.266.74Eyj2291.7264281.9041277.8889262.441113.9594Ey232.376132.148931.248130.2532.376131.3631.136427.0432.4930.470430.2530.25Eyij2371.396Ey66.74FK371.1856333333JKT0.2103666667JKP0.1341666667JKS0.0762DBP3jumlah variabel-1DBS8dbt-dbpDBT11jumlah seluruh variabel-1KTP0.0447222222KTS0.009525Fhit4.6952464275Ftab4.0661805566Fhit >Ftab = tolak H0

RAL 2sebuah percobaan dilakukan untuk menentukan pertumbuhan ikan dengfan menggunakan lima jenis ikan data yang diperoleh adalah sebagai berikut;akuariumikanjumlah ulangan berbedacupangmanfishbotiamas kokisepat112.810.611.710.711211.714.211.89.913.8311.514.710.715.9412.69.64324316yi48.639.523.540.940.7193.2Yi22361.961560.25552.251672.811656.49Eyi193.2EYi22381.36FK2332.892332.89Eyi^2/16JKT48.47JKP24.1741666667JKS24.2958333333Dbp4.000n-1DBS11.000dbt-dbsDBT15.000p-1KTP6.044KTS2.209Fhit < Ftabgagal tolak H0Ftab3.357Fhit2.736

RAL 3hasil analisis dari keempat universitas tsb ialah sbg berikut.ulangan1234158.759.260.755.9261.463.156.160.3360.964.557.360.9458.255.261.4559.158.1535417Anova: Single FactorSUMMARYGroupsCountSumAverageVarianceColumn 15298.359.661.983Column 23186.862.26666666677.5433333333Column 35287.457.484.472Column 44238.559.6256.3691666667298.3186.8287.4238.5ANOVA88982.8934894.2482598.7656882.25Source of VariationSSdfMSFP-valueF critEyij1011Between Groups43.541127451314.51370915033.14389467410.06170887143.4105336464Eyij260228.32Within Groups60.0141666667134.616474359

FK60124.7647058823Total103.555294117616JKT103.5552941176JKP43.541127451JKS60.0141666666Dbp3DBS13DBT16KTP14.5137091503KTS4.616474359Fhit3.1438946741Ftab3.4105336464Fhit < FtabH0i =0GAGAL tolak H0H1i 0terima H0maka bahan yang dikirim sama

RKsuhuikancupangmanfishbotiamas kokisepatneon2512.810.611.710.7117.42811.714.211.89.913.86.83011.514.713.610.715.99.23212.616.515.49.617.18.4Anova: Two-Factor Without Replication

SUMMARYCountSumAverageVariancelakukan uji hipotesis dengan menggunakan taraf nyata 0,05Row 1664.210.73.28untuk menguji hipotesis yang ada. Tentukan kesimpulan dan interpretasinyaRow 2668.211.36666666677.4506666667Row 3675.612.66.536Row 4679.613.266666666713.4546666667suhuikancupangmanfishbotiamas kokisepatneonyiColumn 1448.612.150.41666666672512.810.611.710.7117.464.2Column 2456146.11333333332811.714.211.89.913.86.868.2Column 3452.513.1253.06253011.514.713.610.715.99.275.6Column 4440.910.2250.31583333333212.616.515.49.617.18.479.6Column 5457.814.457.15Y.j48.65652.540.957.831.8Column 6431.87.951.1312.151413.12510.22514.457.9511.9833333333p4ANOVAk6Source of VariationSSdfMSFP-valueF crity287.6jumlah data sumRows24.326666666738.10888888894.02248801190.02764877743.2873821083yij3624.34jumlah data sumsqColumns123.3683333333524.673666666712.23959653860.00007427652.9012945362EyiError30.2383333333152.0158888889EYi2FK3446.4066666667Ey2/(p*k)Total177.933333333323JKT177.9333333333Eyij-FK atau total JKJKP24.3266666667sumsq Eyij / k-fkJKK123.3683333333sumsq Ey.j / p-fkJKS30.2383333333jkt-jkp-jkkDbp3p-1DbK5k-1SKDbJKKTFhitFtabDBT23EdbP324.32666666678.10888888894.02248801193.2873821083DbS15dbp*dbkK5123.368333333324.673666666712.23959653862.9012945362KTP8.1088888889S1530.23833333332.0158888889KTS2.0158888889T23177.9333333333KTK24.6736666667HipotesisperlakuanH0:i=0H1:minimal ada 1 0KelompokH0:j=0H1:minimal ada 1 j 0kesimpulanperlakuanFhit>Ftab --> tolak H0suhu berbeda mempengaruhi pertumbuhan ikankelompokFhit>Ftab --> tolak H0jenis ikan berbeda mempengaruhi pertumbuhan ikan