Nama : Shinta KhalistyawatiNIM : 652012002

1. ANALISIS DATA HASIL PENGAMATAN.

Dosis Treatment Hasil Dosis Treatment Hasil Dosis Treatment Hasil

1 1 16.1 3 1 17.4 5 1 191 1 16.1 3 1 17.55 5 1 19.051 1 16.1 3 1 17.4 5 1 19.051 1 16 3 1 17.5 5 1 19.11 2 16.1 3 2 17.4 5 2 191 2 17 3 2 18.6 5 2 191 2 16.1 3 2 17.7 5 2 19.051 2 16 3 2 17.4 5 2 191 3 16.15 3 3 17.3 5 3 18.751 3 16.3 3 3 17.4 5 3 20.051 3 16.4 3 3 17.45 5 3 19.651 3 16.1 3 3 17.4 5 3 19.252 1 17.4 4 1 17.85 6 1 20.72 1 16.5 4 1 18.1 6 1 202 1 15.9 4 1 18 6 1 20.82 1 16.7 4 1 18.1 6 1 20.252 2 16.65 4 2 18.65 6 2 21.152 2 16.7 4 2 18.05 6 2 20.32 2 16.7 4 2 18 6 2 202 2 16.45 4 2 18.1 6 2 20.052 3 16.7 4 3 18 6 3 19.82 3 16.8 4 3 18.35 6 3 20.252 3 16.65 4 3 18.1 6 3 20.12 3 16.65 4 3 18 6 3 20.7

Dependent: Hasil Tahap:

a. Scatter plot Graphi. Treatment*Dosis tidak ada pengaruh antara treatment dengan dosis.

ii. Hasil*Dosis ada pengaruh antara Hasil dengan dosis.

iii. Hasil*Treatment tidak ada pengaruh antara Hasil dan treatment.

b. Korelasi Correlations

Correlations

Dosis Treatment Hasil

Dosis Pearson Correlation 1 .000 .966**

Sig. (2-tailed) 1.000 .000

N 72 72 72

Treatment Pearson Correlation .000 1 .019

Sig. (2-tailed) 1.000 .872

N 72 72 72

Hasil Pearson Correlation .966** .019 1

Sig. (2-tailed) .000 .872

N 72 72 72

**. Correlation is significant at the 0.01 level (2-tailed).

Dosis dengan treatment tidak menunjukkan adanya korelasi (nilai korelasinya nol).Dosis dengan hasil menunjukkan adanya nilai korelasi yang besar (0.966) dan memiliki hubungan yang signifikan dengan p<α (0.000).Treatment dengan hasil tidak ada korelasi (nilai korelasi negative dengan p> α).

c. Uji linieritas Means

Case Processing Summary

Cases

Included Excluded Total

N Percent N Percent N Percent

Hasil * Dosis 72 100.0% 0 .0% 72 100.0%

Hasil * Treatment 72 100.0% 0 .0% 72 100.0%

Hasil  * TreatmentReport

Hasil

Treatme

nt Mean N Std. Deviation

1 17.9438 24 1.52211

2 18.0479 24 1.45800

3 18.0125 24 1.47370

Total 18.0014 72 1.46444

Pada 3 treatment memiliki rata-rata total 18.0014 dan SD total 1.46444.

ANOVA Table

Sum of Squares df Mean Square F Sig.

Hasil * Treatment Between Groups (Combined) .135 2 .067 .031 .970

Linearity .057 1 .057 .026 .873

Deviation from Linearity .078 1 .078 .035 .851

Within Groups 152.130 69 2.205

Total 152.265 71

Measures of Association

R R Squared Eta Eta Squared

Hasil * Treatment .019 .000 .030 .001

Hasil analisa menunjukkan bahwa p>α sehingga tidak ada hubungan linier antara hasil dengan treatment.

Hasil  * DosisReport

Hasil

Dosis Mean N Std. Deviation

1 16.2042 12 .27507

2 16.6500 12 .33303

3 17.5417 12 .34826

4 18.1083 12 .20652

5 19.1625 12 .35041

6 20.3417 12 .40555

Total 18.0014 72 1.46444

Pada 6 dosis memiliki rata-rata total 18.0014 dan SD total 1.46444.ANOVA Table

Sum of Squares df Mean Square F Sig.

Hasil * Dosis Between Groups (Combined) 145.249 5 29.050 273.297 .000

Linearity 142.107 1 142.107 1.337E3 .000

Deviation from Linearity 3.142 4 .786 7.390 .000

Within Groups 7.015 66 .106

Total 152.265 71

ANOVA Table

Sum of Squares df Mean Square F Sig.

Hasil * Dosis Between Groups (Combined) 145.249 5 29.050 273.297 .000

Linearity 142.107 1 142.107 1.337E3 .000

Deviation from Linearity 3.142 4 .786 7.390 .000

Within Groups 7.015 66 .106

Measures of Association

R R Squared Eta Eta Squared

Hasil * Dosis .966 .933 .977 .954

Hasil analisa menunjukkan bahwa p<α sehingga tidak ada hubungan linier antara hasil dengan dosis.R2 menunjukkan bahwa ada 93.3% dari variabel hasil sebagai fungsi dari dosis.

d. Uji regresi Regression

Variables Entered/Removedb

Model Variables Entered

Variables

Removed Method

1 Dosisa . Enter

a. All requested variables entered.

b. Dependent Variable: Hasil

Model Summaryb

Model R R Square Adjusted R Square

Std. Error of the

Estimate

1 .966a .933 .932 .38093

a. Predictors: (Constant), Dosis

b. Dependent Variable: Hasil

Dilihat dari std. Error estimasi, maka hubungan antara hasil dan dosis memiliki distribusi normal sebesar

0.38093.

ANOVAb

Model Sum of Squares df Mean Square F Sig.

1 Regression 142.107 1 142.107 979.335 .000a

Residual 10.157 70 .145

Total 152.265 71

a. Predictors: (Constant), Dosis

b. Dependent Variable: Hasil

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.

Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) 15.122 .102 147.719 .000

Dosis .823 .026 .966 31.294 .000 1.000 1.000

a. Dependent Variable: Hasil

Nilai VIF besar sehingga antara hasil dan dosis berkolinier.Koefisien B (15.122-0.823)x0.026

Collinearity Diagnosticsa

Model

Dimensi

on Eigenvalue Condition Index

Variance Proportions

(Constant) Dosis

1 1 1.899 1.000 .05 .05

2 .101 4.330 .95 .95

a. Dependent Variable: Hasil

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 15.9448 20.0579 18.0014 1.41475 72

Residual -.86746 1.09206 .00000 .37824 72

Std. Predicted Value -1.454 1.454 .000 1.000 72

Std. Residual -2.277 2.867 .000 .993 72

a. Dependent Variable: Hasil

e. Uji normalitas data Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 1.12 7.06 3.50 1.660 72Residual -1.365 .878 .000 .451 72Std. Predicted Value -1.433 2.142 .000 1.000 72Std. Residual -3.007 1.934 .000 .993 72

a. Dependent Variable: Dosis

Data Set pada SPSS data editor: MASIH SALAHDosis Treat.. Hasil PRE_1 RES_1 ZRE_1 Dosis Treat.. Hasil PRE_1 RES_1 ZRE_1

1 1 16,1 15,9105 0,1895 0,4954 4 1 17,85 18,3783 -0,5283 -1,38091 1 16,1 15,9105 0,1895 0,4954 4 1 18,1 18,3783 -0,2783 -0,72741 1 16,1 15,9105 0,1895 0,4954 4 1 18 18,3783 -0,3783 -0,98881 1 16 15,9105 0,0895 0,2340 4 1 18,1 18,3783 -0,2783 -0,72741 2 16,1 15,9448 0,1552 0,4055 4 2 18,65 18,4127 0,2373 0,62021 2 17 15,9448 1,0552 2,7578 4 2 18,05 18,4127 -0,3627 -0,94801 2 16,1 15,9448 0,1552 0,4055 4 2 18 18,4127 -0,4127 -1,07871 2 16 15,9448 0,0552 0,1442 4 2 18,1 18,4127 -0,3127 -0,81731 3 16,15 15,9792 0,1708 0,4464 4 3 18 18,4471 -0,4471 -1,16851 3 16,3 15,9792 0,3208 0,8384 4 3 18,35 18,4471 -0,0971 -0,25371 3 16,4 15,9792 0,4208 1,0998 4 3 18,1 18,4471 -0,3471 -0,90711 3 16,1 15,9792 0,1208 0,3157 4 3 18 18,4471 -0,4471 -1,16852 1 17,4 16,7331 0,6669 1,7431 5 1 19 19,2009 -0,2009 -0,52522 1 16,5 16,7331 -0,2331 -0,6092 5 1 19,05 19,2009 -0,1509 -0,39452 1 15,9 16,7331 -0,8331 -2,1774 5 1 19,05 19,2009 -0,1509 -0,39452 1 16,7 16,7331 -0,0331 -0,0865 5 1 19,1 19,2009 -0,1009 -0,26382 2 16,65 16,7675 -0,1175 -0,3070 5 2 19 19,2353 -0,2353 -0,61502 2 16,7 16,7675 -0,0675 -0,1763 5 2 19 19,2353 -0,2353 -0,61502 2 16,7 16,7675 -0,0675 -0,1763 5 2 19,05 19,2353 -0,1853 -0,48442 2 16,45 16,7675 -0,3175 -0,8297 5 2 19 19,2353 -0,2353 -0,61502 3 16,7 16,8018 -0,1018 -0,2662 5 3 18,75 19,2697 -0,5197 -1,35832 3 16,8 16,8018 -0,0018 -0,0048 5 3 20,05 19,2697 0,7803 2,03952 3 16,65 16,8018 -0,1518 -0,3968 5 3 19,65 19,2697 0,3803 0,99402 3 16,65 16,8018 -0,1518 -0,3968 5 3 19,25 19,2697 -0,0197 -0,05153 1 17,4 17,5557 -0,1557 -0,4070 6 1 20,7 20,0236 0,6764 1,76803 1 17,55 17,5557 -0,0057 -0,0149 6 1 20 20,0236 -0,0236 -0,0616

3 1 17,4 17,5557 -0,1557 -0,4070 6 1 20,8 20,0236 0,7764 2,02933 1 17,5 17,5557 -0,0557 -0,1456 6 1 20,25 20,0236 0,2264 0,59183 2 17,4 17,5901 -0,1901 -0,4968 6 2 21,15 20,0579 1,0921 2,85433 2 18,6 17,5901 1,0099 2,6396 6 2 20,3 20,0579 0,2421 0,63273 2 17,7 17,5901 0,1099 0,2873 6 2 20 20,0579 -0,0579 -0,15143 2 17,4 17,5901 -0,1901 -0,4968 6 2 20,05 20,0579 -0,0079 -0,02073 3 17,3 17,6245 -0,3245 -0,8480 6 3 19,8 20,0923 -0,2923 -0,76403 3 17,4 17,6245 -0,2245 -0,5866 6 3 20,25 20,0923 0,1577 0,41213 3 17,45 17,6245 -0,1745 -0,4560 6 3 20,1 20,0923 0,0077 0,02013 3 17,4 17,6245 -0,2245 -0,5866 6 3 20,7 20,0923 0,6077 1,5883

NPar TestsOne-Sample Kolmogorov-Smirnov Test

Dosis Treatment Hasil

N 72 72 72

Normal Parametersa Mean 3.50 2.00 18.0014

Std. Deviation 1.720 .822 1.46444

Most Extreme Differences Absolute .142 .221 .105

Positive .142 .221 .105

Negative -.142 -.221 -.081

Kolmogorov-Smirnov Z 1.203 1.878 .887

Asymp. Sig. (2-tailed) .111 .002 .410

a. Test distribution is Normal.

One-Sample Kolmogorov-Smirnov Test 2

Dosis Treatment Hasil

N 72 72 72

Uniform Parametersa Minimum 1 1 15.90

Maximum 6 3 21.15

Most Extreme Differences Absolute .167 .333 .206

Positive .167 .333 .206

Negative -.167 -.333 -.014

Kolmogorov-Smirnov Z 1.414 2.828 1.748

Asymp. Sig. (2-tailed) .037 .000 .004

a. Test distribution is Uniform.

One-Sample Kolmogorov-Smirnov Test 3

Dosis Treatment Hasil

N 72 72 72

Exponential parameter.a Mean 3.50 2.00 18.0014

Most Extreme Differences Absolute .269 .393 .587

Positive .180 .223 .309

Negative -.269 -.393 -.587

Kolmogorov-Smirnov Z 2.279 3.339 4.977

Asymp. Sig. (2-tailed) .000 .000 .000

a. Test Distribution is Exponential.

Curve FitModel Description

Model Name MOD_2

Dependent Variable 1 Hasil

Equation 1 Linear

Independent Variable Dosis

Constant Included

Variable Whose Values Label Observations in Plots Unspecified

Case Processing Summary

N

Total Cases 72

Excluded Casesa 0

Forecasted Cases 0

Newly Created Cases 0

a. Cases with a missing value in any

variable are excluded from the analysis.

Variable Processing Summary

Variables

Dependent Independent

Hasil Dosis

Number of Positive Values 72 72

Number of Zeros 0 0

Number of Negative Values 0 0

Number of Missing Values User-Missing 0 0

System-Missing 0 0

Model Summary and Parameter Estimates

Dependent Variable:Hasil

Equation

Model Summary Parameter Estimates

R Square F df1 df2 Sig. Constant b1

Linear .933 979.335 1 70 .000 15.122 .823

The independent variable is Dosis.

Hubungan antara dosis dan hasil mempunyai hubungan linearitas dengan R2 0.933.

2. ANALISIS DATA

Pengambilan Oksi

Usia (Tahun

)

Tinggi Badan

Berat Badan

Lebar Dada

1.54 8.4 132.0 29.1 14.41.74 8.7 135.5 29.7 14.51.32 8.9 127.7 28.4 14.01.50 9.9 131.1 28.8 14.21.46 9.0 130.0 25.9 13.61.35 7.7 127.6 27.6 13.91.53 7.3 129.9 29.0 14.01.71 9.9 138.1 33.6 14.61.27 9.3 126.6 27.7 13.91.50 8.1 131.8 30.8 14.5