UTS Matematika Terapan (Sumirin)

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Tabel : Data Curah Hujan Kabupaten Brebes Tahun 2012 No. Bulan 1 Januari 197 2 Februari 274 3 Maret 359 4 April 397 5 Mei 53 6 Juni 55 7 Juli 7 8 Agustus 1 9 September 18 10 Oktober 75 11 November 205 12 Desember 220 Jumlah 1,861 sumber : BMKG Curah Hujan (mm) Januari Feb rua - 50 100 150 200 250 300 350 400 450 250 300 350 400 450 D

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Transcript of UTS Matematika Terapan (Sumirin)

jawaban no 1Tabel : Data Curah Hujan Kabupaten BrebesTahun 2012

No.BulanCurah Hujan (mm)1Januari1972Februari2743Maret3594April3975Mei536Juni557Juli78Agustus19September1810Oktober7511November20512Desember220Jumlah1,861sumber : BMKG

jawaban no 2 linierTabel : Perbandingan Harga Dollar Amerika dan Harga Emas

No.Harga Dollar Amerika (Rupiah)Harga Emas (Rupiah)19,100.00364,100.0029,225.00368,900.0039,325.00373,100.0049,400.00376,050.0059,475.00379,100.0069,550.00381,900.0079,600.00383,950.0089,750.00390,000.0099,800.00392,050.00

SUMMARY OUTPUT

Regression StatisticsMultiple R0.9999615238R Square0.9999230491Adjusted R Square0.9999120561Standard Error87.1796983955Observations9

ANOVAdfSSMSFSignificance FRegression1691324020.123536691324020.12353690960.09857425430Residual753202.09868631877600.2998123312Total8691377222.222222

CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95,0%Upper 95,0%Intercept626.52194809351254.22608527970.49952871770.6327225336-2339.25146933223592.2953655192-2339.25146933223592.2953655192X Variable 139.93559756490.1324142503301.5959193594039.622487617440.248707512439.622487617440.2487075124

RESIDUAL OUTPUTPROBABILITY OUTPUT

ObservationPredicted YResidualsStandard ResidualsPercentileY1364040.45978852959.54021147070.73011451775.55555555563641002369032.40948414-132.4094841396-1.62367724716.66666666673689003373025.96924062874.0307593720.907805512227.77777777783731004376021.13905799428.86094200580.353908597838.88888888893760505379016.3088753683.69112463961.0262661753503791006382011.478692727-111.4786927266-1.367012477161.11111111113819007384008.258570971-58.2585709708-0.714398343572.22222222223839508389998.5982057031.40179429670.017189565583.33333333333900009391995.37808394754.62191605260.669803699294.4444444444392050

jawaban no 2 bergandaJumlah PermintaanHarga Buah / Kg (Rp)Keuntungan (Rp)250100,0002,500,00030095,0002,850,00032595,0003,087,500275100,0002,750,00040095,0003,800,00042595,0004,037,50065090,0005,850,00055090,0004,950,00050090,0004,500,00030095,0002,850,000SUMMARY OUTPUT

Regression StatisticsMultiple R0.999620241R Square0.9992406262Adjusted R Square0.9990236623Standard Error34714.1467734854Observations10

ANOVAdfSSMSFSignificance FRegression211100064496096.55550032248048.264605.56075616550Residual78435503903.477631205071986.21109Total911108500000000

CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95,0%Upper 95,0%Intercept-2450310.50390347689001.21290784-3.55632248250.009264943-4079539.48087885-821081.526928099-4079539.48087885-821081.526928099X Variable 19007.4520936835183.102398099649.19352333540.00000000048574.48372273019440.42046463688574.48372273019440.4204646368X Variable 227.37934705466.60314621964.14640932430.004314425311.765387371142.993306738211.765387371142.9933067382

RESIDUAL OUTPUTPROBABILITY OUTPUT

ObservationPredicted YResidualsStandard ResidualsPercentileY12539487.22498226-39487.2249822565-1.28979994345250000022852963.09439319-2963.0943931867-0.096785706815275000033078149.396735279350.60326472670.305425553925285000042764673.52732434-14673.5273243431-0.479292093135285000053753708.3037615346291.69623846751.51205933645308750063978894.6061036258605.39389638091.914270596755380000075868674.59190915-18674.5919091543-0.609981775165403750084967929.38254081-17929.382540809-0.585640459675450000094517556.77785664-17556.7778566359-0.5734698018854950000102852963.09439319-2963.0943931867-0.0967857068955850000

jawaban no. 30.9919677414Panjang Ikan (cm)Berat Ikan (gr)27.5027626.0027626.5022526.8022627.0025028.2032530.0045853.001,72555.001,86956.802,23858.202,65026.0023030.0034239.9085938.8078637.6077635.9067038.0079737.2067738.80712SUMMARY OUTPUT

Regression StatisticsMultiple R0.9755985059R Square0.9517924447Adjusted R Square0.9491142472Standard Error162.9552891012Observations20ANOVAdfSSMSFSignificance FRegression19437056.877570779437056.87757077355.38545589810Residual18477979.6724292326554.4262460683Total199915036.55

CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95,0%Upper 95,0%Intercept-1563.2281072722131.4823772431-11.88925953460.0000000006-1839.462331081-1286.9938834633-1839.462331081-1286.9938834633X Variable 164.61145163523.427359601118.8516698438057.41083632171.812066949357.41083632171.8120669493RESIDUAL OUTPUTPROBABILITY OUTPUT

ObservationPredicted YResidualsStandard ResidualsPercentileY1213.586812694962.41318730510.39350336312.52252116.6696352421159.33036475791.00454787027.52263148.975361059776.02463894030.47932099612.52304168.358796550257.64120344980.363416905817.52505181.281086877368.71891312270.43325977422.52766258.814828839566.18517116050.417285009227.52767375.115441782882.88455821720.52257149232.532581861.1788293916-136.1788293916-0.858581810437.534291990.4017326619-121.4017326619-0.765415005342.5458102106.7023456052131.29765439480.827806923647.5670112197.1583778944452.84162210562.855080936452.567712116.6696352421113.33036475790.714526554457.571213375.1154417828-33.1154417828-0.208786608762.5776141014.7688129709-155.7688129709-0.982092958567.578615943.6962161722-157.6962161722-0.994244871972.579716866.16247421-90.16247421-0.568457378377.585917756.3230064302-86.3230064302-0.544250258882.5172518892.0070548641-95.0070548641-0.599001544887.5186919840.317893556-163.317893556-1.029688486592.5223820943.6962161722-231.6962161722-1.460800901697.52650