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ILMU DASAR KEPERAWATAN IIASTATISTIK
olehDwi Yoga SetyoriniNIM 132310101027
PROGRAM STUDI ILMU KEPERAWATANUNIVERSITAS JEMBER2014UJI KORELASI
NoPenghasilan Tiap Bulan (ribu) (X)Konsumsi Tiap Bulan (ribu)(Y)xyxyx2y2
1.800400-135-15202518.225225
2.900400-235-15352555.225225
3.1.000600-335-21572025112.22546225
4.5002001651853052527.22534225
5.600300658555254.2257225
6.700300-3585-29751.2257225
7.900500-235-1152702555.22513225
8.60050065-115-74754.22513225
9.800500-135-1151552518.22513225
10.5002001651853052527.22534225
11.4002002651854902570.22534225
12.700300-3585-29754.2257225
13.800500-135-1151552518.22513225
14.60040065-15-9754.225225
15.400300265852252570.2257225
16.500400165-15-247527.225225
17.60050065-115-74754.22513225
18.800500-135-1151552518.22513225
19.600300658555254.2257225
20.60040065-15-9754.225225
Total13.3007.70000269.500548.500265.500
Variables Entered/Removedb
ModelVariables EnteredVariables RemovedMethod
1penghasilan tiap bulana.Enter
a. All requested variables entered.
b. Dependent Variable: konsumsi tiap bulan
Model Summary
ModelRR SquareAdjusted R SquareStd. Error of the Estimate
1.811a.658.63950.756
a. Predictors: (Constant), penghasilan tiap bulan
ANOVAb
ModelSum of SquaresdfMean SquareFSig.
1Regression89129.698189129.69834.598.000a
Residual46370.302182576.128
Total135500.00019
a. Predictors: (Constant), penghasilan tiap bulan
b. Dependent Variable: konsumsi tiap bulan
Coefficientsa
ModelUnstandardized CoefficientsStandardized Coefficients
BStd. ErrorBetatSig.
1(Constant)-103.80447.087-2.204.041
penghasilan tiap bulan.404.069.8115.882.000
a. Dependent Variable: konsumsi tiap bulan
X rata-rata = 665Y rata-rata = 385
x = Xrata-rata Xy = Yrata-rata Y
xyr =
269.500= = 0,7062r hitung lebih besar dari pada r tabel (0,7062 > 0,468) maka Ho ditolak, berarti ada hubungan antara penghasilan dan konsumsi setiap bulannya.
UJI REGRESI
NoPenghasilan Tiap Bulan (ribu) (X)Pengeluaran Untuk Kesehatan (Y)xyxyx2y2
1.800200-135-35472518.2251225
2.900300-235-1353172555.22518225
3.1.000300-335-13545225112.22518225
4.500200165-35-577527.2251225
5.60020065-35-22754.2251225
6.700200-35-3512251.2251225
7.900300-235-1353172555.22518225
8.600506511574754.22513225
9.800200-135-35472518.2251225
10.500100165651072527.2254225
11.400100265651722570.2254225
12.700200-35-3512254.2251225
13.800200-135-35472518.2251225
14.600100656542254.2254225
15.400502651153047570.22513225
16.500501651151897527.22513225
17.600506511574754.22513225
18.800200-135-35472518.2251225
19.60020065-35-22754.2251225
20.600100656542254.2254225
Total13.3003.30000220500548.500135500
Descriptive Statistics
MeanStd. DeviationN
penghasilan tiap bulan665.00169.44220
konsumsi tiap bulan165.0084.44920
Correlations
penghasilan tiap bulankonsumsi tiap bulan
penghasilan tiap bulanPearson Correlation1.811**
Sig. (2-tailed).000
N2020
konsumsi tiap bulanPearson Correlation.811**1
Sig. (2-tailed).000
N2020
**. Correlation is significant at the 0.01 level (2-tailed).
X rata-rata = 665Y rata-rata = 165
x = Xrata-rata X y = Yrata-rata Y
xyb = x2
220.500 = 548.500
= 0,402
Y (b x X )a = n
3.300 (0,402 x 13.300) =20
= - 102,33
Y = a + bX
= -102,33 + 0,402 X = -102,33 + (0,402 x 400) = -102,33 + 160,8 = 58,47
Jadi jika penghasilan tiap bulan sekitar Rp 400.000,00, maka dapat diprediksikan bahwa pengeluaran untuk kesehatan Rp 58.470,00.
Misalnya pengeluaran untuk kesehatan sekitar Rp 50.000,00, maka penghasilan tiap bulan adalahY = a + bX50 = -102,33 + 0,402 X152,33 = 0,402 XX = 378,93