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No Sampel Produksi (Y) TK (X1) Urea (X3) KCL (X4) TSP (X5) Kieserit (X6) 2 23640 46,000 16 200 225 200 200 200 3 22044 48,875 8 225 200 200 200 175 4 22704 35,500 8 200 200 200 200 200 5 20328 32,750 10 175 175 200 175 175 6 21552 44,500 12 175 200 200 175 175 7 20700 34,000 16 200 200 175 175 175 8 18336 40,750 8 200 200 200 175 175 9 19908 32,000 12 200 175 200 175 175 10 20136 35,000 9 225 175 200 175 175 11 20472 51,250 9 200 175 200 175 175 12 19512 45,000 10 200 200 200 175 175 13 19152 31,500 10 200 200 200 175 175 14 21228 46,750 16 225 175 200 175 175 15 19260 26,750 8 175 175 175 175 175 16 18900 43,375 10 175 175 175 175 175 17 20496 37,500 16 225 200 175 200 175 18 20676 49,125 9 200 200 200 175 175 19 19152 31,500 10 200 175 200 200 175 20 20116 33,750 16 200 200 200 150 175 21 19236 42,750 8 200 175 200 175 175 22 18012 34,500 8 200 175 175 200 175 23 21756 44,000 20 175 175 200 175 175 24 27048 45,000 20 225 225 225 175 175 25 18432 45,500 8 175 175 175 175 175 26 19704 43,000 8 200 175 200 175 175 27 20940 31,500 8 225 175 175 175 175 28 23976 31,000 12 250 250 250 250 250 29 27420 47,000 9 250 225 250 225 225 30 22896 37,500 9 200 200 200 200 200 31 18432 45,500 8 225 175 175 150 150 32 21552 33,750 12 200 175 200 200 200 33 21564 35,500 9 200 200 200 175 175 34 22512 47,750 8 200 200 200 200 200 35 23100 40,000 12 225 200 225 200 200 36 23808 43,750 16 225 200 200 200 200 37 21456 33,625 12 200 200 200 175 175 38 21624 42,000 8 200 200 200 175 175 39 27480 43,000 16 250 250 200 200 200 40 21852 38,500 12 225 175 200 175 175 41 25308 43,375 16 225 225 225 200 200 42 21756 42,500 8 175 200 175 175 175 43 22236 54,500 8 200 200 200 200 200 44 25125 51,875 16 250 250 225 225 200 45 23095 44,500 18 200 200 200 225 225 Herbisida (X2) Dolomit (X7)

Regresi Non Linier Berganda

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tugas ini berbentuk excel yang memudahkan para mahasiswa untuk mengerakan tugas manajemn produksi

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Page 1: Regresi Non Linier Berganda

No Sampel Produksi (Y) TK (X1) Urea (X3) KCL (X4) TSP (X5) Kieserit (X6)

2 23640 46,000 16 200 225 200 200 200

3 22044 48,875 8 225 200 200 200 175

4 22704 35,500 8 200 200 200 200 200

5 20328 32,750 10 175 175 200 175 175

6 21552 44,500 12 175 200 200 175 175

7 20700 34,000 16 200 200 175 175 175

8 18336 40,750 8 200 200 200 175 175

9 19908 32,000 12 200 175 200 175 175

10 20136 35,000 9 225 175 200 175 175

11 20472 51,250 9 200 175 200 175 175

12 19512 45,000 10 200 200 200 175 175

13 19152 31,500 10 200 200 200 175 175

14 21228 46,750 16 225 175 200 175 175

15 19260 26,750 8 175 175 175 175 175

16 18900 43,375 10 175 175 175 175 175

17 20496 37,500 16 225 200 175 200 175

18 20676 49,125 9 200 200 200 175 175

19 19152 31,500 10 200 175 200 200 175

20 20116 33,750 16 200 200 200 150 175

21 19236 42,750 8 200 175 200 175 175

22 18012 34,500 8 200 175 175 200 175

23 21756 44,000 20 175 175 200 175 175

24 27048 45,000 20 225 225 225 175 175

25 18432 45,500 8 175 175 175 175 175

26 19704 43,000 8 200 175 200 175 175

27 20940 31,500 8 225 175 175 175 175

28 23976 31,000 12 250 250 250 250 250

29 27420 47,000 9 250 225 250 225 225

30 22896 37,500 9 200 200 200 200 200

31 18432 45,500 8 225 175 175 150 150

32 21552 33,750 12 200 175 200 200 200

33 21564 35,500 9 200 200 200 175 175

34 22512 47,750 8 200 200 200 200 200

35 23100 40,000 12 225 200 225 200 200

36 23808 43,750 16 225 200 200 200 200

37 21456 33,625 12 200 200 200 175 175

38 21624 42,000 8 200 200 200 175 175

39 27480 43,000 16 250 250 200 200 200

40 21852 38,500 12 225 175 200 175 175

41 25308 43,375 16 225 225 225 200 200

42 21756 42,500 8 175 200 175 175 175

43 22236 54,500 8 200 200 200 200 200

44 25125 51,875 16 250 250 225 225 200

45 23095 44,500 18 200 200 200 225 225

Herbisida (X2)

Dolomit (X7)

Page 2: Regresi Non Linier Berganda

46 26160 43,500 20 250 250 225 250 250

47 24123 51,500 18 175 200 200 225 225

48 25180 52,500 18 250 200 225 225 225

50 25800 53,750 16 250 250 250 250 225

51 24530 54,000 16 225 225 225 250 225

52 27480 56,500 20 250 250 250 250 225

Jumlah 1,101,905 2.1 802 10.5 10 10.15 9.675 9.5

rata-rata 22.038 42 12 210 200 203 194 190

Page 3: Regresi Non Linier Berganda

1 SUMMARY OUTPUT 26,7501 81 Regression Statistics 1750 Multiple R 0.899 1750 R Square 0.809 1750 Adjusted R Squa 0.777 1500 Standard Error 1233.358 1500 Observations 500

0 ANOVA0 df SS MS F0 Regression 7 270679153 4E+007 25.4200 Residual 42 63889266 15211730 Total 49 3345684190

0 CoefficientsStandard Error t Stat P-value0 Intercept -503.546 2042.399 -0.247 0.8060 X Variable 1 0.051 0.027 1.861 0.0700 X Variable 2 129.357 51.469 2.513 0.0160 X Variable 3 16.651 10.862 1.533 0.1330 X Variable 4 37.060 12.268 3.021 0.0041 X Variable 5 19.009 15.187 1.252 0.2181 X Variable 6 -25.778 19.036 -1.354 0.1830 X Variable 7 47.694 22.272 2.141 0.0380

1 persamaan regresi linear1 y= a + b1.x1 + b2.x2 + b3.x3 + b4.x4 + b5.x5 + b6.x6 + b1 y= -503,546 + 0,05x1 + 129,357x2 + 16,65x3 + 37,06x4 +1

0 nilai tertinggi1 y= -503,546 + 0,05.56,500 + 129,357.250 + 16,65.250 + 37,06.250 +19,009.250 - 25,778.250 + 47,694.2501 y= 28598,063891

1 nilai terendah1 y= -503,546 + 0,05.26,750 + 129,357.8 + 16,65.175 + 37,06.175 +19,009.175 - 25,778.150 + 47,694.1501 y= 17896,619081

1

1

1

1

1

1

1

Ordo Lahan(D)

Page 4: Regresi Non Linier Berganda

1

1

1

1

1

1

29

1

Page 5: Regresi Non Linier Berganda

No Sampel Produksi (Y)

2 10.0706954715

3 10.000795735

4 10.0302963994

5 9.919754525

6 9.9782238987

7 9.9378889793

8 9.8166216195

9 9.89887694

10 9.9102645368

11 9.9268133778

Significance F 12 9.8787849399

3.56E-013 13 9.8601624278

14 9.9630763439

15 9.8657856854

16 9.846917201

Lower 95% Upper 95%Lower 95,0%Upper 95,0% 17 9.9279850241

-4625.273 3618.182 -4625.273 3618.182 18 9.9367288863

-0.004 0.105 -0.004 0.105 19 9.8601624278

25.489 233.226 25.489 233.226 20 9.9092707973

-5.269 38.570 -5.269 38.570 21 9.8645388024

12.302 61.819 12.302 61.819 22 9.7987934814

-11.639 49.656 -11.639 49.656 23 9.9876448605

-64.194 12.638 -64.194 12.638 24 10.2053683444

2.748 92.640 2.748 92.640 25 9.8218435635

26 9.8885769398

27 9.9494164844

17896.619 28 10.084808609

29 10.2190279531

30 10.0387175018

nilai tertinggi 31 9.8218435635

y= -503,546 + 0,05.56,500 + 129,357.250 + 16,65.250 + 37,06.250 +19,009.250 - 25,778.250 + 47,694.250 32 9.9782238987

y= 28598,06389 33 9.9787805366

34 10.0218037794

nilai terendah 35 10.0475878965

y= -503,546 + 0,05.26,750 + 129,357.8 + 16,65.175 + 37,06.175 +19,009.175 - 25,778.150 + 47,694.150 36 10.0777769376

y= 17896,61908 37 9.9737596055

38 9.981559088

39 10.2212137463

40 9.9920477295

41 10.1388758303

42 9.9876448605

43 10.0094678761

44 10.1316186454

45 10.0473714229

Page 6: Regresi Non Linier Berganda

46 10.1719868056

47 10.0909210212

48 10.1338053076

50 10.1581297709

51 10.1076521373

52 10.2212137463

Jumlah 499.691125962

rata-rata 19.5957304299

Page 7: Regresi Non Linier Berganda

TK (X1) Herbisida (X2) Urea (X3) KCL (X4) TSP (X5) Kieserit (X6) Dolomit (X7)

10.7363966755 2.7725887222 5.2983173665 5.4161004022 5.2983173665 5.2983173665 5.2983173665 0

10.7970212973 2.0794415417 5.4161004022 5.2983173665 5.2983173665 5.2983173665 5.1647859739 0

10.4772879755 2.0794415417 5.2983173665 5.2983173665 5.2983173665 5.2983173665 5.2983173665 0

10.3966582411 2.302585093 5.1647859739 5.1647859739 5.2983173665 5.1647859739 5.1647859739 Err:502

10.7032444682 2.4849066498 5.1647859739 5.2983173665 5.2983173665 5.1647859739 5.1647859739 Err:502

10.4341158036 2.7725887222 5.2983173665 5.2983173665 5.1647859739 5.1647859739 5.1647859739 Err:502

10.6152111187 2.0794415417 5.2983173665 5.2983173665 5.2983173665 5.1647859739 5.1647859739 Err:502

10.3734911818 2.4849066498 5.2983173665 5.1647859739 5.2983173665 5.1647859739 5.1647859739 Err:502

10.4631033405 2.1972245773 5.4161004022 5.1647859739 5.2983173665 5.1647859739 5.1647859739 Err:502

10.844470897 2.1972245773 5.2983173665 5.1647859739 5.2983173665 5.1647859739 5.1647859739 Err:502

10.7144177688 2.302585093 5.2983173665 5.2983173665 5.2983173665 5.1647859739 5.1647859739 Err:502

10.3577428248 2.302585093 5.2983173665 5.2983173665 5.2983173665 5.1647859739 5.1647859739 Err:502

10.7525695347 2.7725887222 5.4161004022 5.1647859739 5.2983173665 5.1647859739 5.1647859739 Err:502

10.1942897523 2.0794415417 5.1647859739 5.1647859739 5.1647859739 5.1647859739 5.1647859739 Err:502

10.6776385172 2.302585093 5.1647859739 5.1647859739 5.1647859739 5.1647859739 5.1647859739 Err:502

10.532096212 2.7725887222 5.4161004022 5.2983173665 5.1647859739 5.2983173665 5.1647859739 Err:502

10.8021233492 2.1972245773 5.2983173665 5.2983173665 5.2983173665 5.1647859739 5.1647859739 Err:502

10.3577428248 2.302585093 5.2983173665 5.1647859739 5.2983173665 5.2983173665 5.1647859739 Err:502

10.4267356963 2.7725887222 5.2983173665 5.2983173665 5.2983173665 5.0106352941 5.1647859739 Err:502

10.6631244744 2.0794415417 5.2983173665 5.1647859739 5.2983173665 5.1647859739 5.1647859739 Err:502

10.448714603 2.0794415417 5.2983173665 5.1647859739 5.1647859739 5.2983173665 5.1647859739 Err:502

10.6919449129 2.9957322736 5.1647859739 5.1647859739 5.2983173665 5.1647859739 5.1647859739 0

10.7144177688 2.9957322736 5.4161004022 5.4161004022 5.4161004022 5.1647859739 5.1647859739 0

10.7254676049 2.0794415417 5.1647859739 5.1647859739 5.1647859739 5.1647859739 5.1647859739 Err:502

10.6689553947 2.0794415417 5.2983173665 5.1647859739 5.2983173665 5.1647859739 5.1647859739 Err:502

10.3577428248 2.0794415417 5.4161004022 5.1647859739 5.1647859739 5.1647859739 5.1647859739 0

10.3417424835 2.4849066498 5.5214609179 5.5214609179 5.5214609179 5.5214609179 5.5214609179 0

10.7579028807 2.1972245773 5.5214609179 5.4161004022 5.5214609179 5.4161004022 5.4161004022 0

10.532096212 2.1972245773 5.2983173665 5.2983173665 5.2983173665 5.2983173665 5.2983173665 0

10.7254676049 2.0794415417 5.4161004022 5.1647859739 5.1647859739 5.0106352941 5.0106352941 Err:502

10.4267356963 2.4849066498 5.2983173665 5.1647859739 5.2983173665 5.2983173665 5.2983173665 0

10.4772879755 2.1972245773 5.2983173665 5.2983173665 5.2983173665 5.1647859739 5.1647859739 0

10.7737343459 2.0794415417 5.2983173665 5.2983173665 5.2983173665 5.2983173665 5.2983173665 0

10.5966347331 2.4849066498 5.4161004022 5.2983173665 5.4161004022 5.2983173665 5.2983173665 0

10.6862468918 2.7725887222 5.4161004022 5.2983173665 5.2983173665 5.2983173665 5.2983173665 0

10.4230251169 2.4849066498 5.2983173665 5.2983173665 5.2983173665 5.1647859739 5.1647859739 0

10.6454248973 2.0794415417 5.2983173665 5.2983173665 5.2983173665 5.1647859739 5.1647859739 0

10.6689553947 2.7725887222 5.5214609179 5.5214609179 5.2983173665 5.2983173665 5.2983173665 0

10.5584135203 2.4849066498 5.4161004022 5.1647859739 5.2983173665 5.1647859739 5.1647859739 0

10.6776385172 2.7725887222 5.4161004022 5.4161004022 5.4161004022 5.2983173665 5.2983173665 0

10.6572593549 2.0794415417 5.1647859739 5.2983173665 5.1647859739 5.1647859739 5.1647859739 0

10.9059559807 2.0794415417 5.2983173665 5.2983173665 5.2983173665 5.2983173665 5.2983173665 0

10.8565922575 2.7725887222 5.5214609179 5.5214609179 5.4161004022 5.4161004022 5.2983173665 0

10.7032444682 2.8903717579 5.2983173665 5.2983173665 5.2983173665 5.4161004022 5.4161004022 0

Ordo Lahan(D)

Page 8: Regresi Non Linier Berganda

10.6805162171 2.9957322736 5.5214609179 5.5214609179 5.4161004022 5.5214609179 5.5214609179 0

10.8493370867 2.8903717579 5.1647859739 5.2983173665 5.2983173665 5.4161004022 5.4161004022 0

10.8685684486 2.8903717579 5.5214609179 5.2983173665 5.4161004022 5.4161004022 5.4161004022 0

10.892098946 2.7725887222 5.5214609179 5.5214609179 5.5214609179 5.5214609179 5.4161004022 0

10.8967393255 2.7725887222 5.4161004022 5.4161004022 5.4161004022 5.5214609179 5.4161004022 0

10.9419959171 2.9957322736 5.5214609179 5.5214609179 5.5214609179 5.5214609179 5.4161004022 0

531.470339335 122.355321374 267.046162025 264.573611139 265.431141249 262.840383694 262.026544221 Err:502

20.8419740916 4.798247897 10.4723985108 10.3754357309 10.4090643627 10.3074660272 10.2755507538 Err:502

Page 9: Regresi Non Linier Berganda

SUMMARY OUTPUT

Regression StatisticsMultiple R 0.895R Square 0.802Adjusted R Square 0.768Standard Error 0.056Observations 50

ANOVAdf SS MS F

Regression 7 0.531 0.076 24.238Residual 42 0.131 0.003Total 49 0.662

Coefficients Standard Error t Stat P-value

Intercept 4.262 0.632 6.749 0.000X Variable 1 0.090 0.049 1.834 0.074X Variable 2 0.068 0.029 2.332 0.025X Variable 3 0.139 0.101 1.384 0.174X Variable 4 0.320 0.112 2.861 0.007X Variable 5 0.158 0.140 1.128 0.266X Variable 6 -0.179 0.167 -1.072 0.290X Variable 7 0.433 0.201 2.154 0.037

e anti ln a2.71828182845904 70.981758596

persamaan regresiy= 70,9818.x1b1.x2b2.x3b3.x4b4.x5b5.x6b6.x7.b7y= 70,9818.x10,09.x20,068.x30,139.x40,32.x50,158.x6-0,179.x7.0,43

max min10.9419959171 10.19428975232.9957322736 2.07944154175.5214609179 5.16478597395.5214609179 5.16478597395.5214609179 5.16478597395.5214609179 5.01063529415.5214609179 5.0106352941

nilai tertinggiy= 70,9818.x10,09.x20,068.x30,139.x40,32.x50,158.x6-0,179.x7.0,43

Page 10: Regresi Non Linier Berganda

y= 420,71743

nilai terendahy= 70,9818.x10,09.x20,068.x30,139.x40,32.x50,158.x6-0,179.x7.0,43y= 381,8341682

Page 11: Regresi Non Linier Berganda

Significance F

8E-013

Lower 95%Upper 95%Lower 95,0%Upper 95,0%

2.988 5.537 2.988 5.537-0.009 0.190 -0.009 0.1900.009 0.126 0.009 0.126

-0.064 0.343 -0.064 0.3430.094 0.546 0.094 0.546

-0.125 0.440 -0.125 0.440-0.515 0.158 -0.515 0.1580.027 0.838 0.027 0.838

Page 12: Regresi Non Linier Berganda