Judul : Tingkat kehadiran di kelas dan skor IQ mahasiswa yang diperkirakan mempengaruhi nilai akhir yang diperoleh.
Kehadiran Skor Di Kelas IQ (%)
No 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
60 70 75 87 45 67 65 34 56 77 76 75 78 79 80 84 86 82 96 95 90 98 95 84 76 70 72 73 74 79
110 120 121 124 115 130 156 132 135 146 137 125 105 107 109 102 103 106 139 140 156 134 125 157 148 152 134 125 165 147
Nilai Akhir 65 70 75 75 80 80 85 85 95 95 90 98 90 96 97 97 94 94 93 92 78 79 76 87 97 93 92 85 92 87
Regresi Linier
Variables Entered/Removeda Model
1
Variables
Variables
Entered
Removed
NA, IQb
Method
. Enter
a. Dependent Variable: Kehadiran b. All requested variables entered.
Model Summaryb Model
R
,130a
1
R Square
Adjusted R
Std. Error of the
Square
Estimate
,017
-,056
Durbin-Watson
14,67251
,861
a. Predictors: (Constant), NA, IQ b. Dependent Variable: Kehadiran
ANOVAa Model
Sum of Squares Regression
1
df
Mean Square
F
99,236
2
49,618
Residual
5812,630
27
215,283
Total
5911,867
29
Sig. ,796b
,230
a. Dependent Variable: Kehadiran b. Predictors: (Constant), NA, IQ
Coefficientsa Model
Unstandardized Coefficients
Standardized
t
Sig.
Collinearity Statistics
Coefficients B (Constant) 1
Std. Error
55,490
32,201
IQ
,025
,150
NA
,197
,304
a. Dependent Variable: Kehadiran
Beta
Tolerance
VIF
1,723
,096
,032
,167
,869
,997
1,003
,124
,648
,522
,997
1,003
Collinearity Diagnosticsa Model
Dimension
Eigenvalue
Condition Index
Variance Proportions (Constant)
1
IQ
NA
1
2,981
1,000
,00
,00
,00
2
,014
14,490
,02
,80
,24
3
,004
26,016
,98
,19
,76
a. Dependent Variable: Kehadiran
Residuals Statisticsa Minimum Predicted Value
Maximum
Mean
Std. Deviation
N
71,0734
78,3404
75,9333
1,84985
30
-41,57143
23,56251
,00000
14,15753
30
Std. Predicted Value
-2,627
1,301
,000
1,000
30
Std. Residual
-2,833
1,606
,000
,965
30
Residual
a. Dependent Variable: Kehadiran