probit-1

6
Hasil uji probit untuk konsentrasi Probit Analysis Data Information N of Cases Valid 6 Rejected Missing 0 Number of Responses > Number of Subjects 0 Control Group 1 Convergence Information Number of Iterations Optimal Solution Found PROBIT 6 Yes Parameter Estimates Parameter Estimate Std. Error Z Sig. 95% Confidence Interval Lower Bound Upper Bound PROBIT a konsentrasi .029 .006 4.810 .000 .017 .041 Intercept -.006 .173 -.037 .971 -.179 .166 a. PROBIT model: PROBIT(p) = Intercept + BX Chi-Square Tests Chi-Square df a Sig. PROBIT Pearson Goodness-of- Fit Test 6.228 4 .183 b a. Statistics based on individual cases differ from statistics based on aggregated cases. b. Since the significance level is greater than .150, no heterogeneity factor is used in the calculation of confidence limits.

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Hasil uji probit untuk konsentrasi

ProbitAnalysisData Information

N of Cases

Valid6

RejectedMissing0

Number of Responses > Number of Subjects0

Control Group1

Convergence Information

Number of IterationsOptimal Solution Found

PROBIT6Yes

Parameter Estimates

ParameterEstimateStd. ErrorZSig.95% Confidence Interval

Lower BoundUpper Bound

PROBITakonsentrasi.029.0064.810.000.017.041

Intercept-.006.173-.037.971-.179.166

a. PROBIT model: PROBIT(p) = Intercept + BX

Chi-Square Tests

Chi-SquaredfaSig.

PROBITPearson Goodness-of-Fit Test6.2284.183b

a. Statistics based on individual cases differ from statistics based on aggregated cases.

b. Since the significance level is greater than .150, no heterogeneity factor is used in the calculation of confidence limits.

Cell Counts and Residuals

NumberkonsentrasiNumber of SubjectsObserved ResponsesExpected ResponsesResidualProbability

PROBIT1.00025812.437-4.437.497

25.000251813.8894.111.556

320.000251917.9591.041.718

435.000252121.131-.131.845

550.000252323.177-.177.927

665.000252424.270-.270.971

Confidence Limits

Probability95% Confidence Limits for konsentrasi

EstimateLower BoundUpper Bound

PROBIT0.01-79.415-148.735-49.762

0.02-70.084-133.069-43.050

0.03-64.163-123.139-38.782

0.04-59.710-115.674-35.566

0.05-56.087-109.607-32.945

0.06-53.004-104.446-30.711

0.07-50.300-99.924-28.749

0.08-47.879-95.877-26.990

0.09-45.678-92.200-25.388

0.1-43.651-88.817-23.911

0.15-35.261-74.837-17.769

0.2-28.592-63.767-12.846

0.25-22.872-54.310-8.582

0.3-17.734-45.863-4.709

0.35-12.973-38.087-1.067

0.4-8.456-30.7712.451

0.45-4.085-23.7755.937

0.5.216-17.0009.477

0.554.518-10.37813.172

0.68.888-3.87417.150

0.6513.4062.51621.593

0.718.1678.76526.762

0.7523.30414.85232.996

0.829.02520.85340.715

0.8535.69327.06050.501

0.944.08434.13463.549

0.9146.11035.76766.777

0.9248.31237.51670.307

0.9350.73339.41574.213

0.9453.43641.51278.601

0.9556.52043.87683.631

0.9660.14246.62489.571

0.9764.59649.96996.907

0.9870.51654.370106.704

0.9979.84761.234122.218

Hasil uji probit untuk waktu

ProbitAnalysis

Data Information

N of Cases

Valid7

RejectedMissing0

Number of Responses > Number of Subjects0

Control Group1

Convergence Information

Number of IterationsOptimal Solution Found

PROBIT13Yes

Parameter Estimates

ParameterEstimateStd. ErrorZSig.95% Confidence Interval

Lower BoundUpper Bound

PROBITajam-.189.056-3.359.001-.299-.079

Intercept1.324.2206.010.0001.1041.544

a. PROBIT model: PROBIT(p) = Intercept + BX

Chi-Square Tests

Chi-SquaredfaSig.

PROBITPearson Goodness-of-Fit Test2.2715.811b

a. Statistics based on individual cases differ from statistics based on aggregated cases.

b. Since the significance level is greater than .150, no heterogeneity factor is used in the calculation of confidence limits.

Cell Counts and Residuals

NumberjamNumber of SubjectsObserved ResponsesExpected ResponsesResidualProbability

PROBIT1.000252422.6811.319.907

21.000252221.797.203.872

32.000251920.702-1.702.828

43.000251919.395-.395.776

54.000251717.886-.886.715

65.000251616.208-.208.648

76.000251614.4051.595.576

Confidence Limits

Probability95% Confidence Limits for jam

EstimateLower BoundUpper Bound

PROBIT0.0119.35113.41741.731

0.0217.90612.49838.267

0.0316.98911.91436.070

0.0416.30011.47434.418

0.0515.73811.11633.074

0.0615.26110.81131.931

0.0714.84210.54430.929

0.0814.46710.30430.032

0.0914.12610.08629.216

0.113.8139.88428.465

0.1512.5139.05025.359

0.211.4808.38322.894

0.2510.5947.80720.782

0.39.7997.28718.889

0.359.0616.80117.139

0.48.3626.33415.484

0.457.6855.87513.890

0.57.0195.41312.332

0.556.3524.93510.790

0.65.6764.4229.250

0.654.9763.8397.711

0.74.2393.1116.202

0.753.4432.0814.820

0.82.557.5353.678

0.851.524-1.6312.712

0.9.225-4.5781.719

0.91-.089-5.3061.495

0.92-.430-6.1021.256

0.93-.805-6.980.997

0.94-1.224-7.965.712

0.95-1.701-9.092.391

0.96-2.262-10.420.018

0.97-2.952-12.057-.437

0.98-3.869-14.239-1.036

0.99-5.314-17.685-1.972