Deskripsi Data Variabel X1, X2, dan Y
Statistics
Y X1 X2
N Valid 60 60 60
Missing 0 0 0
Mean 58.93 58.92 57.72
Std. Error of Mean .551 .523 .671
Median 60.00 60.00 58.50
Mode 61 60 58
Std. Deviation 4.270 4.048 5.201
Variance 18.233 16.383 27.054
Skewness -.748 -.812 -.609
Std. Error of Skewness .309 .309 .309
Kurtosis .392 .211 -.265
Std. Error of Kurtosis .608 .608 .608
Range 21 17 24
Minimum 47 48 44
Maximum 68 65 68
Sum 3536 3535 3463
Frekuensi Tabel Variabel Y
Cumulative
Frequency Percent Valid Percent Percent
Valid 47 1 1.7 1.7 1.7
48 1 1.7 1.7 3.3
51 2 3.3 3.3 6.7
52 2 3.3 3.3 10.0
54 3 5.0 5.0 15.0
55 4 6.7 6.7 21.7
56 5 8.3 8.3 30.0
58 4 6.7 6.7 36.7
59 5 8.3 8.3 45.0
60 7 11.7 11.7 56.7
61 8 13.3 13.3 70.0
62 6 10.0 10.0 80.0
63 7 11.7 11.7 91.7
64 3 5.0 5.0 96.7
65 1 1.7 1.7 98.3
68 1 1.7 1.7 100.0
Total 60 100.0 100.0
No. Interval Kelas Tepi Atas Tepi Bawah N Persentase (%)
1 47 – 50 50,5 46,5 2 3,33
2 51 – 54 54,5 50,5 7 11,67
3 55 – 58 58,5 54,5 13 21,67
4 59 – 62 62,5 58,5 26 43,33
5 63 – 66 66,5 62,5 11 18,33
6 67 – 70 70,5 66,5 1 1,67
Jumlah 60 100
50%
40%
30%
20% Y
10%
0%
47–50 51–54 55–58 59–62 63–66 67–70
Frekuensi Tabel Variabel X1
X1
Cumulative
Frequency Percent Valid Percent Percent
Valid 48 2 3.3 3.3 3.3
51 1 1.7 1.7 5.0
52 2 3.3 3.3 8.3
53 1 1.7 1.7 10.0
54 3 5.0 5.0 15.0
55 3 5.0 5.0 20.0
56 3 5.0 5.0 25.0
57 7 11.7 11.7 36.7
58 1 1.7 1.7 38.3
59 2 3.3 3.3 41.7
60 12 20.0 20.0 61.7
61 3 5.0 5.0 66.7
62 9 15.0 15.0 81.7
63 6 10.0 10.0 91.7
64 3 5.0 5.0 96.7
65 2 3.3 3.3 100.0
Total 60 100.0 100.0
No. Interval Kelas Tepi Atas Tepi Bawah N Persentase (%)
1 48 – 50 50,5 47,5 2 3.33%
2 51 – 53 53,5 50,5 4 6.67%
3 54 – 56 56,5 53,5 9 15%
4 57 – 59 59,5 56,5 10 16.67%
5 60 – 62 62,5 59,5 24 40%
6 63 – 65 65,5 62,5 11 18.33%
Jumlah 60 100
40%
30%
20%
X1
10%
0%
48–50 51–53 54–56 57–59 60–62 63–65
Frekuensi Tabel Variabel X2
X2
Cumulative
Frequency Perent Valid Percent Percent
Valid 44 1 1.7 1.7 1.7
47 1 1.7 1.7 3.3
48 2 3.3 3.3 6.7
49 1 1.7 1.7 8.3
50 1 1.7 1.7 10.0
51 3 5.0 5.0 15.0
52 4 6.7 6.7 21.7
53 1 1.7 1.7 23.3
54 1 1.7 1.7 25.0
55 3 5.0 5.0 30.0
56 4 6.7 6.7 36.7
58 8 13.3 13.3 50.0
59 3 5.0 5.0 55.0
60 5 8.3 8.3 63.3
61 6 10.0 10.0 73.3
62 5 8.3 8.3 81.7
63 6 10.0 10.0 91.7
64 3 5.0 5.0 96.7
65 1 1.7 1.7 98.3
68 1 1.7 1.7 100.0
Total 60 100.0 100.0
No. Interval Kelas Tepi Atas Tepi Bawah N Persentase (%)
1 44 – 47 47,5 43,5 2 3.33%
2 48 – 51 51,5 47,5 7 11.67%
3 52 – 55 55,5 53,5 9 15%
4 56 – 59 59,5 55,5 15 25%
5 60 – 63 63,5 59,5 22 36.67%
6 64 – 67 67,5 63,5 4 6.67%
7 68 – 71 71,5 67,5 1 1.67%
Jumlah 60 100
40%
30%
20%
X2
10%
0%
44–47 48–51 52–55 56–59 60–63 64–67 68–71
UJI Chi Square
Test Statistics
Y X1 X2
Chi-
22.667 39.733 28.667
Square(a,b)
df 15 15 19
Asymp. Sig. .091 .000 .071
a 16 cells (100.0%) have expected frequencies less than 5. The minimum expected cell
frequency is 3.8.
b 20 cells (100.0%) have expected frequencies less than 5. The minimum expected cell
frequency is 3.0.
Observed N Expected N Residual
47 1 3.8 -2.8
48 1 3.8 -2.8
51 2 3.8 -1.8
52 2 3.8 -1.8
54 3 3.8 -.8
55 4 3.8 .3
56 5 3.8 1.3
58 4 3.8 .3
59 5 3.8 1.3
60 7 3.8 3.3
61 8 3.8 4.3
62 6 3.8 2.3
63 7 3.8 3.3
64 3 3.8 -.8
65 1 3.8 -2.8
68 1 3.8 -2.8
Total 60
X1
Observed N Expected N Residual
48 2 3.8 -1.8
51 1 3.8 -2.8
52 2 3.8 -1.8
53 1 3.8 -2.8
54 3 3.8 -.8
55 3 3.8 -.8
56 3 3.8 -.8
57 7 3.8 3.3
58 1 3.8 -2.8
59 2 3.8 -1.8
60 12 3.8 8.3
61 3 3.8 -.8
62 9 3.8 5.3
63 6 3.8 2.3
64 3 3.8 -.8
65 2 3.8 -1.8
Total 60
X2
Observed N Expected N Residual
44 1 3.0 -2.0
47 1 3.0 -2.0
48 2 3.0 -1.0
49 1 3.0 -2.0
50 1 3.0 -2.0
51 3 3.0 .0
52 4 3.0 1.0
53 1 3.0 -2.0
54 1 3.0 -2.0
55 3 3.0 .0
56 4 3.0 1.0
58 8 3.0 5.0
59 3 3.0 .0
60 5 3.0 2.0
61 6 3.0 3.0
62 5 3.0 2.0
63 6 3.0 3.0
64 3 3.0 .0
65 1 3.0 -2.0
68 1 3.0 -2.0
Total 60
UjI Regresi Linear Y dan X1
Variables Entered/Removedb
Variables Variables
Model Entered Removed Method
1 X1a . Enter
a. All requested variables entered.
b. Dependent Variable: Y
Model Summary
Adjusted Std. Error of
Model R R Square R Square the Estimate
1 .833a .694 .689 2.381
a. Predictors: (Constant), X1
ANOVAb
Sum of
Model Squares df Mean Square F Sig.
1 Regression 746.892 1 746.892 131.735 .000a
Residual 328.841 58 5.670
Total 1075.733 59
a. Predictors: (Constant), X1
b. Dependent Variable: Y
Coefficientsa
Unstandardized Standardized
Coefficients Coefficients
Model B Std. Error Beta t Sig.
1 (Constant) 7.143 4.523 1.579 .120
X1 .879 .077 .833 11.478 .000
a. Dependent Variable: Y
Persamaan Regresi Y = 7.143 + 0.879X1
17
15
13
11
9
7
0 1 2 3 4 5 6 7 8 9
Y = 7.143 + 0.879X1
Uji Regresi Linear Y dan X2
Variables Entered/Removedb
Variables Variables
Model Entered Removed Method
1 X2a . Enter
a. All requested variables entered.
b. Dependent Variable: Y
Model Summary
Adjusted Std. Error of
Model R R Square R Square the Estimate
1 .911a .830 .827 1.775
a. Predictors: (Constant), X2
ANOVAb
Sum of
Model Squares df Mean Square F Sig.
1 Regression 892.954 1 892.954 283.354 .000a
Residual 182.780 58 3.151
Total 1075.733 59
a. Predictors: (Constant), X2
b. Dependent Variable: Y
Coefficientsa
Unstandardized Standardized
Coefficients Coefficients
Model B Std. Error Beta t Sig.
1 (Constant) 15.764 2.575 6.123 .000
X2 .748 .044 .911 16.833 .000
a. Dependent Variable: Y
Persamaan Regresi : Y = 15.764 + 0.748X2
25
23
21
19
17
15
0 1 2 3 4 5 6 7 8 9
Y = 15.764 + 0.748X2
Uji Regresi Berganda X1, X2 dan Y
Variables Entered/Removedb
Variables Variables
Model Entered Removed Method
1 X2, X1a . Enter
a. All requested variables entered.
b. Dependent Variable: Y
Model Summary
Adjusted Std. Error of
Model R R Square R Square the Estimate
1 .931a .866 .862 1.589
a. Predictors: (Constant), X2, X1
ANOVAb
Sum of
Model Squares df Mean Square F Sig.
1 Regression 931.826 2 465.913 184.543 .000a
Residual 143.907 57 2.525
Total 1075.733 59
a. Predictors: (Constant), X2, X1
b. Dependent Variable: Y
Coefficientsa
Unstandardized Standardized
Coefficients Coefficients
Model B Std. Error Beta t Sig.
1 (Constant) 8.105 3.020 2.684 .010
X1 .324 .083 .307 3.924 .000
X2 .550 .064 .670 8.559 .000
a. Dependent Variable: Y
Persamaan Regresi : Y = 8.105 + 0.324X1 + 0.550X2
18
16
14
12
10
8
0 1 2 3 4 5 6 7 8 9
Y = 8.105 + 0.324X1 + 0.550X2
Uji Korelasi Partial X1, X2, dan Y
Correlations
Control Variables Y X1
X2 Y Correlation 1.000 .461
Significance (2-tailed) . .000
df 0 57
X1 Correlation .461 1.000
Significance (2-tailed) .000 .
df 57 0
Correlations
Control Variables Y X2
X1 Y Correlation 1.000 .750
Significance (2-tailed) . .000
df 0 57
X2 Correlation .750 1.000
Significance (2-tailed) .000 .
df 57 0
Correlations
Control Variables X1 X2
Y X1 Correlation 1.000 .115
Significance (2-tailed) . .385
df 0 57
X2 Correlation .115 1.000
Significance (2-tailed) .385 .
df 57 0
