KUESIONER PENELITIAN
PENGARUH
SELF EFFICACY
DAN MOTIVASI TERHADAP
KEPUASAN KERJA KARYAWAN PADA PT. PP. LONDON SEMATRA,
TBK
Kepada Yth :
Bapak/Ibu
Di Tempat
Dengan Hormat
Yang bertanda tnagn dibawah ini :
Nama
: Diky Fabian
Nim
: 130907069
Jurusan
: Administrasi Niaga/Bisnis
Fakultas
: Ilmu Sosial dan Ilmu Politik
Perguruan Tinggi : Universitas Sumatera Utara
Ingin meminta kesediaan Bapak/Ibu sebagai karyawan PT. PP. London
Sumatra, Tbk untuk berpartisipasi menjawan kuesioner yang saya ajukan, guna
untuk pembuatan/penulisan skripsi sebagai tugas akhir kuliah saya di Universitas
Sumatera Utara. Kuesioner ini dimaksudkan untuk mengetahui apaka ada
“Pengaruh
Self Efficacy
dan Motivasi Terhadap Kepuasan Kerja Karyawan
Pada PT. PP. London Sumatera, Tbk”.
Jawaban yang Bapak/Ibu berikan tidak akan berkaitan dengan penilaian
kinerja, citra diri, atau kedudukan, karena kuesioner ini ditunjukkan untuk
keperluan ilmiah dan penyelesaian tugas akhir studi serta jawaban Bapak/Ibu akan
dijaga kerahasiaannya.
Atas kesediaan dan kerjasama Bapak/Ibu saya ucapkan terimakasih.
Hormat Saya,
INSTRUMEN PENGUMPULAN DATA
Petunjuk Pengisian Kuesioner :
1.
Beri tanda ceklist (
√) pada tempat yang telah disediakan sesuai dengan
jawaban Bapak/ibu.
2.
Seriap pernyataan hanya membutuhkan satu jawaban.
3.
Mohom Bapak/Ibu dapat memberikan jawaban yang sebenar-benarnya.
No.
Pernyataan
Bobot
1
Sangat Setuju
5
2
Setuju
4
3
Kurang Setuju
3
4
Tidak Setuju
2
5
Sangat Tidak Setuju
1
I.
Indentitas Responden
1.
Nama
:………..
2.
Jenis Kelamin
: Laki-laki
Perempuan
3.
Usia
: 21-30 tahun
41-50 tahun
31-40 tahun
>50 tahun
4.
Pendidikan Terakhir : SMA/SMK Sederajat
Sarjana
II. Daftar Pernyataan.
No
Variabel
Indikator
Pernyataan
Skor
SS
S
N
TS
STS
1.
Self Efficacy
(X
1)
Merupakan
keyakinan,
kepercayaan diri
individu mengenai
kemampuan diriny
dalam melakukan
tugas yang diberik
a.
Dimensi
Tingkat (Level)
Berkaitan dengan
derajat kesulitan keti
individu merasa
mampu untuk
melakukannya
1.
Memiliki keyakinan
terhadap
kemampuan dalam
mengambil tindakan
untuk mencapai suatu
hasil.
2.
Memiliki keyakinan
terhadap kmampuan
yang dimiliki untuk
mengatasi hambatan
dalam tingkat kesulitan
tugas yang dihadapi.
3.
Memiliki pandangan
yang positif terhadap
tugas yang dikerjakan.
b.
Strength
Berkaitan dengan lua
bidang tingkah laku
yang mana individu
merasa yakin akan
kemampuannya.
1.
Memiliki keyakinan diri
yang kuat terhadap
potensi diri dalam
menyelesaikan tugas.
2.
Memiliki semangat
juang dan tidak mudah
menyerah ketika
mengalami hambatan
dalam menyelesaikan
tugas.
3.
Me
miliki komitmen untuk
menyelesaikan tugas
dengan baik.
c.
Generality
Berkaitan dengan Lu
bidang tingkah laku
yang mana individu
merasa yakin akan
kemampuannya.
4.
Mampu menyikapi
situasi dan kondisi yang
beragam dengan sikap
positif.
5.
Menggunakan
pengalaman hidup
sebagai suatu langkah
untuk mencapai
keberhasilan
2.
Motivasi
(X
2)
Pemberi daya
penggerak yang
menciptakan
kegairaan sehingg
hasrat yang ada
dalam diri seseora
menyebabkan oran
tersebut melakuka
tindakan
a.
Enggagement
Janji pekerja untuk
menunjukkan tingkat
antusiasme, inisiatif,
dan usaha untuk
meneruskan
4.
Dalam melakukan
pekerjaan karyawan
selalu antusias.
5.
Pekerjaan yang
dilakukan karyawan
sesuai dengan
kompetensinya
masing-masing
6.
Memiliki inisiatif yang
tinggi dalam melakukan
pekerjaan.
b.
Commitment
Merupakan suatu
tingkatan dimana
pekerja mengikat
denagn organisasi da
menunjukkan tindaka
Organizational
Citizenship.
4.
Berusaha keras untuk
mencapaiprestasi (target)
5.
Atasan selalu member
pujian apabila
menjalankan tugas
dengan hasil yang
memuaskan.
6.
Hubungan antara
bawahan baik dan tidak
kaku.
7.
Setiap karyawan sesalu
patuh terhadap kebijakan
kebijakan perusahaan.
c.
Stisfaction
Merupakan refleksi
pemenuhan kontak
psikologis dan
memenuhi harapan d
tempat kerja
3.
Saya sudah merasa
cukup puas dengan
kondisi pekerjaan yang
ada di tempat saya
bekerja.
4.
Perusahaan memberikan
cuti tahunan kepada
karyawan
5.
Promosi jabatan yang
ditawarkan sesuai
dengan kompetensi
karyawan.
d.
Insentif
Merupakan pemimpi
perlu membuat
perencanaan penberi
insentif dalam bentuk
gaji, bonus, tunjanga
dan jaminan
j.
Perusahaan
memberikan gaji
yang sepadan
dengan hasil kerja
karyawan.
`
l.
Saya merasa tenang
dalam bekerja
karena tersedianya
jaminan kesehatan
dari perusahaan
m.
Apabila target
tercapai, perusahaan
mengadakan rekreasi
bersama karyawan
dan keluarga.
3.
Kepuasan Kerja
(Y)
Merupakan
sekumpulan
perasaan pegawai
terhadap
pekerjaannya,
apakah senang/suk
atau tidak
senang/tidak suka
sebagai hasil
interaksi pegawai
dengan
lingkungannya.
a.
Gaji
Aspek ini mengukur
kepuasan pegawai
sehubungan dengan
gaji yang diterimany
5.
Gaji yang Bapak/Ibu
terima saat ini sudah
memadai.
6.
Gaji yang Bapak/Ibu
terima saat ini sudah
sesuai dengan harapan.
7.
Gaji yang Bapak/Ibu
terima saat ini sudah
sesuai dengan posisi
pekerjaan yang saat ini
dijalani.
b.
Promosi
Mengukur sejauh
mana kepuasan
pegawai sehubungan
dengan kebijakan
promosi dan
kesempatan untuk
mendapatkan promos
5.
Perusahaan memberikan
kesempatan kepada
karyawan yang
berprestasi untuk
dipromosikan ke jenjang
jabatan yang lebih tinggi.
6.
Perusahaan selalu
memberikan
penghargaan kepada
karyawan yang
mempunyai prestasi
baik.
c.
Supervisi
Mengukur kepuasan
kerja seseorang
terhadap atasannya.
4.
Atasan sering
menyelenggarakan
diskusi untuk
meningkatkan prestasi
karyawan.
5.
Atasan Bapak/Ibu
memperlakukan
bawahan sebagai rekan,
bukan sebagai bawahan.
6.
Atasan Bapak/Ibu
Konsisten dalam
berprilaku
d.Tunjangan
Tambahan
Aspek ini mengukur
sejauh mana individu
merasa puas terhadap
tunjangan tambahan
yang diterimanya dar
organisasi.
1.
Di tempat saya bekerja
selain gaji pokok
diberikan beberapa
macam tunjangan.
e.
Penghargaan
Aspek ini mengukur
sejauhmana individu
merasa puas terhadap
penghargaan yang
diberikan berdasarka
hasil kerja.
1.
Perusahaan selalu
memberikan penghargaan
kepada karyawan yang
mempunyai prestasi yang
baik.
f.
Prosedur dan
Peraturan Kerja
Aspek ini mengukur
kepuasan sehubungan
dengan prosedur dan
peraturan di tempat
kerja.
1.
Perusahaan selama ini
benar-benar menerapkan
peraturan yang berlaku
bagi semua karyawannya.
g.
Rekan Kerja
Mengukur kepuasan
kerja berkaitan denga
hubungan dengan
rekan
4.
Hubungan dengan rekan
kerja berjalan dengan
baik.
h.Pekerjaan Itu
Sendiri
Aspek yang menguku
kepuasan kerja
terhadap hal-hal yang
berkaitan dengan
pekerjaan itu sendiri.
2.
Pekerjaan saya saat ini
memberikan kesempatan
untuk belajar.
3.
Saya bekerja sesuai
kebijakan yang ada di
perusahaan ini.
i.
Komunikasi
Aspek ini mengukur
kepuasan yang
berhubungan dengan
komunikasi yang
berlangsung dalam
pekerjaan.
Lampiran
Pengaruh Pelatihan Dan Motivasi Terhadap Kinerja Karyawan
Pada PT. PLN (Persero) Area Medan
No
Resp.
Identitas Responden
Jenis
Kelamin
Usia
Pendidi
kan
Keterangan
1
1
2
1
Jenis
Kelamin
1
Laki-laki
2
2
2
3
2
Perempuan
3
1
3
3
Usia
1
21-30 thn
4
1
1
3
2
31-40 thn
5
2
2
1
3
41-50 thn
6
1
1
3
4
> 50 thn
7
2
1
2
Pendidikan
1
SMA/SMK
8
2
2
3
2
D-III
9
1
3
3
3
S1
10
1
1
2
4
S2
11
1
1
3
12
1
4
2
L = 33
13
1
2
1
P = 19
15
1
3
3
16
1
2
1
17
1
2
2
18
1
2
3
19
1
2
4
20
2
2
3
21
1
2
4
22
2
3
1
23
2
2
3
24
1
2
1
25
1
2
1
26
1
2
1
27
1
2
1
28
1
3
1
29
2
3
1
30
1
2
1
31
1
3
1
32
2
1
3
33
2
1
2
34
2
1
2
35
2
1
2
36
2
1
2
37
2
3
2
39
2
3
3
40
2
3
3
41
2
3
3
42
2
3
3
43
1
3
3
44
1
3
2
45
1
1
2
46
1
2
3
47
1
2
3
48
1
2
3
49
1
2
3
50
1
2
3
51
1
2
3
Lampiran
Pengaruh
Self Efficacy
dan Motivasi Terhadap Kepuasan Kerja Karyawan
Pada PT. PP. LONDON SUMATRA INDONESIA, TBK
Variabel X1 (
SELF EFFICACY
)
No
Resp.
Item Pertanyaan Variabel X1 (
SELF EFFICACY
)
Jumlah Skor
1
2
3
4
5
6
7
8
9
1
4
4
4
4
4
4
4
4
4
36
2
4
4
4
4
4
4
4
4
4
36
3
4
4
4
4
4
4
4
4
4
36
4
4
4
4
4
5
5
5
5
5
41
5
3
3
3
3
3
4
4
4
4
31
6
4
4
4
4
4
4
4
4
4
36
7
4
4
4
4
4
4
4
4
4
36
8
5
5
5
3
3
3
4
4
4
36
9
4
3
3
3
3
4
4
4
4
32
10
5
5
5
5
5
5
5
5
5
45
11
5
4
3
4
5
4
4
4
4
37
12
4
4
4
4
4
4
4
4
4
36
13
5
5
5
5
5
5
5
5
5
45
14
5
5
5
5
5
5
5
5
5
45
15
4
4
4
4
4
4
3
4
4
35
17
5
5
5
4
4
4
4
4
4
39
18
5
4
4
4
4
4
3
3
3
34
19
4
4
4
4
4
4
4
3
3
34
20
3
3
5
5
5
4
4
4
4
37
21
5
5
2
4
3
3
4
4
4
34
22
4
4
4
4
4
4
4
4
4
36
23
4
5
5
5
4
5
5
5
4
42
24
4
4
4
4
3
4
4
4
4
35
25
4
4
4
4
4
4
4
4
4
36
26
3
3
3
4
3
4
3
3
4
30
27
5
4
5
4
5
4
5
5
5
42
28
5
5
4
4
5
5
5
5
5
43
29
4
4
4
5
5
5
4
4
4
39
30
4
4
4
5
5
5
5
4
4
40
31
5
5
4
4
4
4
5
5
5
41
32
4
4
4
4
4
4
4
3
3
34
33
4
4
5
5
4
5
5
4
4
40
34
4
4
5
5
3
5
4
3
4
37
35
5
5
5
5
4
5
5
5
5
44
36
4
2
5
5
4
5
5
5
5
40
37
4
4
5
5
4
3
4
3
5
37
38
5
4
5
5
4
4
4
4
5
40
39
4
4
4
4
5
5
5
5
5
41
41
3
3
4
4
4
4
4
3
4
33
42
4
4
4
4
3
5
5
5
4
38
43
4
5
4
4
4
4
4
4
4
37
44
4
4
5
5
4
4
4
4
4
38
45
4
4
5
5
4
4
4
4
4
38
46
4
4
4
4
3
5
5
4
4
37
47
3
4
4
4
4
4
4
4
4
35
48
4
4
4
4
3
5
5
5
4
38
49
4
4
4
4
4
4
4
4
4
36
50
4
4
5
5
4
4
4
4
4
38
51
4
4
4
4
4
4
4
4
4
36
52
4
4
4
4
4
4
4
4
4
36
∑
218
213
219
222
209
222
222
213
217
1955
Mean
4.19
4.10
4.21
4.27
4.02
4.27
4.27
4.10
4.17
Keterangan :
SS
: Sangat Setuju
5
S
: Setuju
4
[ = pearson( arr ay cell1; arr ay cell2) ] .N
: Netral
3
TS
: Tidak Setuju
2
STS
: Sangat Tidak
Setuju
Lampiran
Pengaruh Self Efficacy Dan Motivasi Terhadap Kepuasan Kerja Karyawan Pada PT. PP. LONDON SUMATRA INDONESIA, TBK
Variabel Y (KEPUASAN KERJA)
No Resp.
Item Pertanyaan Variabel Y (KEPUASAN KERJA) Jumla
h Skor
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
1 3 3 4 4 4 4 5 4 4 4 4 4 4 4 4 4 63
2 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 64
3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 64
4 4 3 4 4 4 4 4 5 4 4 4 4 4 4 4 4 64
5 2 2 2 2 2 3 3 3 3 2 2 2 3 3 3 3 40
6 4 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 62
7 3 3 3 4 4 4 3 4 4 4 4 4 4 4 4 4 60
8 3 4 4 5 5 5 5 2 3 5 5 5 3 3 4 4 65
9 2 2 2 3 3 3 3 3 3 3 2 2 2 3 3 2 41
10 4 3 3 4 4 4 3 3 2 4 3 4 4 4 4 4 57
11 3 3 3 3 4 4 4 4 4 4 5 4 4 4 4 4 61
12 3 3 3 2 2 3 3 3 3 3 4 4 4 4 4 4 52
5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 80
14 4 3 2 2 2 1 3 3 3 5 2 4 3 3 4 4 48
15 2 2 3 4 4 4 3 3 3 2 3 3 4 4 4 4 52
17 4 4 5 4 3 3 4 4 4 5 5 5 4 4 4 4 66
18 3 3 3 4 4 4 4 3 4 3 3 3 3 4 4 4 56
19 2 2 2 5 5 4 1 3 3 3 2 4 4 4 3 4 51
20 4 5 4 4 4 4 4 4 4 3 3 5 4 4 4 4 64
21 4 5 4 4 4 4 4 4 4 5 4 4 4 5 5 5 69
22 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 64
23 4 3 4 5 5 5 5 5 4 5 4 5 5 4 4 5 72
24 4 4 4 4 4 4 4 4 4 5 5 4 4 4 4 4 66
25 2 3 2 4 4 4 4 4 4 2 4 5 4 3 4 5 58
26 2 2 2 5 4 4 4 3 3 4 4 4 4 4 4 4 57
27 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 65
28 5 4 4 3 3 3 3 3 3 5 5 5 5 5 5 5 66
29 3 3 3 3 3 3 3 3 3 5 3 3 4 4 4 4 54
30 4 5 5 5 4 4 5 5 5 5 5 4 5 5 5 5 76
31 5 5 5 5 5 5 5 5 5 5 5 5 5 5 4 4 78
32 4 4 4 4 5 4 3 3 5 3 5 4 3 4 4 4 63
33 5 5 5 5 5 4 4 4 5 4 5 5 5 5 5 4 75
34 3 4 4 3 4 4 3 4 5 4 5 5 5 5 2 3 63
35 4 4 4 3 4 4 5 5 5 4 3 4 3 5 4 4 65
36 3 5 5 5 4 5 5 5 5 4 4 4 4 5 4 4 71
37 4 4 4 4 4 5 3 5 4 5 5 5 5 5 4 4 70
38 4 4 4 4 4 4 4 5 4 3 4 4 3 4 4 4 63
39 4 3 4 4 5 4 5 5 5 5 4 4 3 4 3 5 67
RELIABILITY
/VARIABLES=x1.1 x1.2 x1.3 x1.4 x1.5 x1.6 x1.7 x1.8 x1.9
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.
Reliability
Notes
Output Created 03-FEB-2017 09:24:46
Comments
Input
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 52
Matrix Input
Missing Value Handling
Definition of Missing User-defined missing values are treated as missing.
Cases Used
Statistics are based on all
cases with valid data for all
variables in the procedure.
Syntax
RELIABILITY
/VARIABLES=x1.1 x1.2
x1.3 x1.4 x1.5 x1.6 x1.7 x1.8
x1.9
/SCALE('ALL VARIABLES')
ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.
Resources Processor Time 00:00:00.02 Elapsed Time 00:00:00.02
[DataSet0]
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases
Valid 52 100.0
Excludeda 0 .0
a. Listwise deletion based on all variables in the
procedure.
Reliability Statistics
Cronbach's
Alpha
N of Items
.822 9
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-Total Correlation
Cronbach's
Alpha if Item
Deleted
x1.1 33.4038 10.167 .433 .815
x1.2 33.5000 10.137 .403 .819
x1.3 33.3846 9.810 .458 .813
x1.4 33.3269 10.067 .498 .807
x1.5 33.5769 9.621 .503 .808
x1.6 33.3269 9.989 .522 .805
x1.7 33.3269 9.401 .708 .784
x1.8 33.5000 9.314 .633 .791
x1.9 33.4231 9.935 .608 .797
RELIABILITY
/VARIABLES=x2.1 x2.2 x2.3 x2.4 x2.5 x2.6 x2.7 x2.8 x2.9 x2.10 x2.11 x2.12 x2.13 x2.14
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.
Reliability
Notes
Output Created 03-FEB-2017 09:27:33
Comments
Input
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 52
Missing Value Handling
Definition of Missing User-defined missing values are treated as missing.
Cases Used
Statistics are based on all
cases with valid data for all
variables in the procedure.
Syntax
RELIABILITY
/VARIABLES=x2.1 x2.2
x2.3 x2.4 x2.5 x2.6 x2.7 x2.8
x2.9 x2.10 x2.11 x2.12 x2.13
x2.14
/SCALE('ALL VARIABLES')
ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.
Resources Processor Time 00:00:00.00 Elapsed Time 00:00:00.00
[DataSet0]
Scale: ALL VARIABLES
Case Processing SummaryN %
Cases
Valid 52 100.0
Excludeda 0 .0
Total 52 100.0
a. Listwise deletion based on all variables in the
procedure.
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-Total Correlation
x2.4 53.0385 37.293 .614 .865
x2.5 53.1538 36.015 .707 .860
x2.6 53.4038 38.638 .382 .875
x2.7 53.2308 36.887 .644 .863
x2.8 53.3077 35.825 .606 .864
x2.9 52.9615 38.783 .418 .873
x2.10 53.2885 37.386 .530 .868
x2.11 53.3077 38.413 .394 .875
x2.12 53.3462 35.290 .623 .863
x2.13 53.0962 36.794 .609 .865
x2.14 53.2885 34.876 .554 .869
RELIABILITY
/VARIABLES=y1 y2 y3 y4 y5 y6 y7 y8 y9 y10 y11 y12 y13 y14 y15 y16
/SCALE('ALL VARIABLES') ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.
Reliability
Notes
Output Created 03-FEB-2017 09:51:08
Comments
Input
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 52
Matrix Input
Missing Value Handling
Definition of Missing User-defined missing values are treated as missing.
Cases Used
Statistics are based on all
cases with valid data for all
Syntax
RELIABILITY
/VARIABLES=y1 y2 y3 y4
y5 y6 y7 y8 y9 y10 y11 y12
y13 y14 y15 y16
/SCALE('ALL VARIABLES')
ALL
/MODEL=ALPHA
/SUMMARY=TOTAL.
Resources Processor Time 00:00:00.00 Elapsed Time 00:00:00.00
[DataSet0]
Scale: ALL VARIABLES
Case Processing Summary
N %
Cases
Valid 52 100.0
Excludeda 0 .0
Total 52 100.0
a. Listwise deletion based on all variables in the
procedure.
Reliability Statistics
Cronbach's
Alpha
N of Items
.913 16
Item-Total Statistics
Scale Mean if
Item Deleted
Scale Variance
if Item Deleted
Corrected
Item-Total Correlation
Cronbach's
Alpha if Item
Deleted
y1 59.3269 55.793 .676 .905
y2 59.2885 54.798 .702 .904
y3 59.2500 53.328 .827 .899
y4 58.9423 58.761 .519 .910
y5 58.9231 59.131 .496 .911
y7 59.0577 56.683 .589 .908
y8 59.0000 57.333 .641 .906
y9 58.9808 57.823 .661 .906
y10 58.9038 56.677 .549 .910
y11 58.8846 55.477 .709 .904
y12 58.7500 58.034 .631 .907
y13 58.9231 59.170 .567 .909
y14 58.7885 59.347 .655 .907
y15 58.9231 61.680 .379 .913
y16 58.9231 60.739 .457 .911
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Total.y
/METHOD=ENTER Total.x1 Total.x2.
Regression
Notes
Output Created 03-FEB-2017 10:46:00
Comments
Input
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 52
Missing Value Handling
Definition of Missing User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases
with no missing values for
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF
OUTS R ANOVA
/CRITERIA=PIN(.05)
POUT(.10)
/NOORIGIN
/DEPENDENT Total.y
/METHOD=ENTER Total.x1
Total.x2.
Resources
Processor Time 00:00:00.00
Elapsed Time 00:00:00.05
Memory Required 1636 bytes
Additional Memory Required
for Residual Plots 0 bytes
[DataSet0]
Variables Entered/Removeda
Model Variables
Entered
Variables
Removed
Method
1 Total.x2,
Total.x1b . Enter
a. Dependent Variable: Total.y
b. All requested variables entered.
Model Summary
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
1 .706a .498 .478 5.83972
a. Predictors: (Constant), Total.x2, Total.x1
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 1660.681 2 830.340 24.349 .000b
Residual 1671.011 49 34.102
Total 3331.692 51
a. Dependent Variable: Total.y
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1
(Constant) 4.936 9.605 .514 .610
Total.x1 .362 .260 .156 1.392 .170
Total.x2 .774 .139 .624 5.550 .000
a. Dependent Variable: Total.y
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Total.y
/METHOD=ENTER Total.x1 Total.x2
/CASEWISE PLOT(ZRESID) ALL
/SAVE RESID.
Regression
Notes
Output Created 03-FEB-2017 11:08:56
Comments
Input
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 52
Missing Value Handling
Definition of Missing User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases
with no missing values for
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF
OUTS R ANOVA
/CRITERIA=PIN(.05)
POUT(.10)
/NOORIGIN
/DEPENDENT Total.y
/METHOD=ENTER Total.x1
Total.x2
/CASEWISE
PLOT(ZRESID) ALL
/SAVE RESID.
Resources
Processor Time 00:00:00.05
Elapsed Time 00:00:00.45
Memory Required 1644 bytes
Additional Memory Required
for Residual Plots 0 bytes
Variables Created or
Modified RES_1 Unstandardized Residual
[DataSet0]
Variables Entered/Removeda
Model Variables
Entered
Variables
Removed
Method
1 Total.x2,
Total.x1b . Enter
a. Dependent Variable: Total.y
b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
1 .706a .498 .478 5.83972
a. Predictors: (Constant), Total.x2, Total.x1
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 1660.681 2 830.340 24.349 .000b
Residual 1671.011 49 34.102
Total 3331.692 51
a. Dependent Variable: Total.y
b. Predictors: (Constant), Total.x2, Total.x1
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1
(Constant) 4.936 9.605 .514 .610
Total.x1 .362 .260 .156 1.392 .170
Total.x2 .774 .139 .624 5.550 .000
a. Dependent Variable: Total.y
Casewise Diagnosticsa
Case Number Std. Residual Total.y Predicted Value Residual
1 .020 63.00 62.8805 .11950
2 .457 64.00 61.3323 2.66767
3 .457 64.00 61.3323 2.66767
4 .147 64.00 63.1444 .85556
5 -1.222 40.00 47.1349 -7.13489
6 .512 62.00 59.0101 2.98992
7 .302 60.00 58.2360 1.76400
8 -.167 65.00 65.9768 -.97684
9 -1.908 41.00 52.1418 -11.14181
10 -1.300 57.00 64.5941 -7.59412
11 -.649 61.00 64.7911 -3.79109
12 -1.996 52.00 63.6546 -11.65459
13 .915 80.00 74.6572 5.34279
14 -1.383 48.00 56.0792 -8.07919
15 -.078 52.00 52.4550 -.45499
16 1.642 70.00 60.4105 9.58948
17 .481 66.00 63.1937 2.80632
18 -.524 56.00 59.0593 -3.05932
20 -.003 64.00 64.0170 -.01701
21 2.763 69.00 52.8667 16.13335
22 .457 64.00 61.3323 2.66767
23 .261 72.00 70.4736 1.52639
24 .861 66.00 60.9699 5.03009
25 -.040 58.00 58.2360 -.23600
26 -.104 57.00 57.6096 -.60964
27 .388 65.00 62.7328 2.26723
28 -.298 66.00 67.7397 -1.73970
29 -.249 54.00 55.4528 -1.45284
30 .938 76.00 70.5229 5.47714
31 1.483 78.00 69.3371 8.66289
Casewise Diagnosticsa
Case Number Std. Residual Total.y Predicted Value Residual
32 -.253 63.00 64.4779 -1.47791
33 1.164 75.00 68.2006 6.79939
34 -.174 63.00 64.0170 -1.01701
35 -1.459 65.00 73.5207 -8.52071
36 -.051 71.00 71.2969 -.29694
37 .759 70.00 65.5652 4.43482
38 -1.023 63.00 68.9747 -5.97469
39 -.268 67.00 68.5630 -1.56303
40 1.392 66.00 57.8736 8.12642
41 -.440 60.00 62.5673 -2.56732
42 -2.214 53.00 65.9276 -12.92760
43 .395 64.00 61.6948 2.30525
44 .222 68.00 66.7017 1.29832
45 -.463 64.00 66.7017 -2.70168
46 1.726 71.00 60.9207 10.07933
47 .823 65.00 60.1958 4.80417
48 -1.264 57.00 64.3794 -7.37943
49 .457 64.00 61.3323 2.66767
50 -.098 70.00 70.5721 -.57210
51 -.206 64.00 65.2028 -1.20275
52 -.604 64.00 67.5250 -3.52501
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 47.1349 74.6572 62.9231 5.70634 52
Residual -12.92760 16.13335 .00000 5.72407 52
Std. Predicted Value -2.767 2.056 .000 1.000 52
Std. Residual -2.214 2.763 .000 .980 52
a. Dependent Variable: Total.y
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Total.y
/METHOD=ENTER Total.X1 Total.X2
/SAVE RESID.
Regression
Notes
Output Created 08-FEB-2017 16:58:34
Comments
Input
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 52
Missing Value Handling
Definition of Missing User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases
with no missing values for
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF
OUTS R ANOVA
/CRITERIA=PIN(.05)
POUT(.10)
/NOORIGIN
/DEPENDENT Total.y
/METHOD=ENTER
Total.X1 Total.X2
/SAVE RESID.
Resources
Processor Time 00:00:00.03
Elapsed Time 00:00:00.06
Memory Required 1644 bytes
Additional Memory Required
for Residual Plots 0 bytes
Variables Created or
Modified RES_1 Unstandardized Residual
[DataSet0]
Variables Entered/Removeda
Model Variables
Entered
Variables
Removed
Method
1 Total.X2,
Total.X1b . Enter
a. Dependent Variable: Total.y
b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
1 .706a .498 .478 5.83972
a. Predictors: (Constant), Total.X2, Total.X1
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 1660.681 2 830.340 24.349 .000b
Residual 1671.011 49 34.102
Total 3331.692 51
a. Dependent Variable: Total.y
b. Predictors: (Constant), Total.X2, Total.X1
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1
(Constant) 4.936 9.605 .514 .610
Total.X1 .362 .260 .156 1.392 .170
Total.X2 .774 .139 .624 5.550 .000
a. Dependent Variable: Total.y
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 47.1349 74.6572 62.9231 5.70634 52
Residual -12.92760 16.13335 .00000 5.72407 52
Std. Predicted Value -2.767 2.056 .000 1.000 52
Std. Residual -2.214 2.763 .000 .980 52
a. Dependent Variable: Total.y
NPAR TESTS
/K-S(NORMAL)=RES_1
/MISSING ANALYSIS.
Notes
Output Created 08-FEB-2017 16:59:31
Comments
Input
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 52
Missing Value Handling
Definition of Missing User-defined missing values are treated as missing.
Cases Used
Statistics for each test are
based on all cases with valid
data for the variable(s) used
in that test.
Syntax
NPAR TESTS
/K-S(NORMAL)=RES_1
/MISSING ANALYSIS.
Resources
Processor Time 00:00:00.02
Elapsed Time 00:00:00.03
Number of Cases Alloweda 196608
a. Based on availability of workspace memory.
[DataSet0]
One-Sample Kolmogorov-Smirnov Test
Unstandardized
Residual
N 52
Normal Parametersa,b Mean 0E-7 Std. Deviation 5.72406579
Most Extreme Differences
Absolute .092
Positive .089
Negative -.092
Kolmogorov-Smirnov Z .664
a. Test distribution is Normal.
b. Calculated from data.
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS BCOV R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Total.y
/METHOD=ENTER Total.X1 Total.X2
/SAVE RESID.
Regression
Notes
Output Created 08-FEB-2017 17:07:27
Comments
Input
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 52
Missing Value Handling
Definition of Missing User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases
with no missing values for
any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF
OUTS BCOV R ANOVA
COLLIN TOL
/CRITERIA=PIN(.05)
POUT(.10)
/NOORIGIN
/DEPENDENT Total.y
/METHOD=ENTER
Total.X1 Total.X2
/SAVE RESID.
Resources
Processor Time 00:00:00.02
Additional Memory Required
for Residual Plots 0 bytes
Variables Created or
Modified RES_1 Unstandardized Residual
[DataSet0]
Variables Entered/Removeda
Model Variables
Entered
Variables
Removed
Method
1 Total.X2,
Total.X1b . Enter
a. Dependent Variable: Total.y
b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
1 .706a .498 .478 5.83972
a. Predictors: (Constant), Total.X2, Total.X1
b. Dependent Variable: Total.y
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 1660.681 2 830.340 24.349 .000b
Residual 1671.011 49 34.102
Total 3331.692 51
a. Dependent Variable: Total.y
b. Predictors: (Constant), Total.X2, Total.X1
Model Unstandardized Coefficients Standardized
Coefficients
t Sig. Collinearity
Statistics
B Std. Error Beta Tolerance
1
(Constant) 4.936 9.605 .514 .610
Total.X1 .362 .260 .156 1.392 .170 .810
Total.X2 .774 .139 .624 5.550 .000 .810
Coefficientsa
Model Collinearity Statistics
VIF
1
(Constant)
Total.X1 1.234
Total.X2 1.234
a. Dependent Variable: Total.y
Coefficient Correlationsa
Model Total.X2 Total.X1
1
Correlations Total.X2 1.000 -.435 Total.X1 -.435 1.000
Covariances Total.X2 .019 -.016 Total.X1 -.016 .068
a. Dependent Variable: Total.y
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index Variance Proportions
(Constant) Total.X1 Total.X2
1
1 2.989 1.000 .00 .00 .00
2 .007 20.988 .21 .13 .99
3 .004 26.728 .78 .87 .01
a. Dependent Variable: Total.y
Predicted Value 47.1349 74.6572 62.9231 5.70634 52
Residual -12.92760 16.13335 .00000 5.72407 52
Std. Predicted Value -2.767 2.056 .000 1.000 52
Std. Residual -2.214 2.763 .000 .980 52
a. Dependent Variable: Total.y
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS BCOV R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Total.y
/METHOD=ENTER Total.X1 Total.X2
/SAVE RESID.
Regression
Notes
Output Created 08-FEB-2017 17:17:04
Comments
Input
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 52
Missing Value Handling
Definition of Missing User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases
with no missing values for
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF
OUTS BCOV R ANOVA
COLLIN TOL
/CRITERIA=PIN(.05)
POUT(.10)
/NOORIGIN
/DEPENDENT Total.y
/METHOD=ENTER
Total.X1 Total.X2
/SAVE RESID.
Resources
Processor Time 00:00:00.03
Elapsed Time 00:00:00.04
Memory Required 1644 bytes
Additional Memory Required
for Residual Plots 0 bytes
Variables Created or
Modified RES_1 Unstandardized Residual
[DataSet0]
Variables Entered/Removeda
Model Variables
Entered
Variables
Removed
Method
1 Total.X2,
Total.X1b . Enter
a. Dependent Variable: Total.y
b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
1 .706a .498 .478 5.83972
a. Predictors: (Constant), Total.X2, Total.X1
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 1660.681 2 830.340 24.349 .000b
Residual 1671.011 49 34.102
Total 3331.692 51
a. Dependent Variable: Total.y
b. Predictors: (Constant), Total.X2, Total.X1
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig. Collinearity
Statistics
B Std. Error Beta Tolerance
1
(Constant) 4.936 9.605 .514 .610
Total.X1 .362 .260 .156 1.392 .170 .810
Total.X2 .774 .139 .624 5.550 .000 .810
Coefficientsa
Model Collinearity Statistics
VIF
1
(Constant)
Total.X1 1.234
Total.X2 1.234
a. Dependent Variable: Total.y
Coefficient Correlationsa
Model Total.X2 Total.X1
1
Correlations
Total.X2 1.000 -.435
Total.X1 -.435 1.000
Covariances
Total.X2 .019 -.016
Total.X1 -.016 .068
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index Variance Proportions
(Constant) Total.X1 Total.X2
1
1 2.989 1.000 .00 .00 .00
2 .007 20.988 .21 .13 .99
3 .004 26.728 .78 .87 .01
a. Dependent Variable: Total.y
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 47.1349 74.6572 62.9231 5.70634 52
Residual -12.92760 16.13335 .00000 5.72407 52
Std. Predicted Value -2.767 2.056 .000 1.000 52
Std. Residual -2.214 2.763 .000 .980 52
a. Dependent Variable: Total.y
COMPUTE RES2=ABS_RES(RES_1).
EXECUTE.
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS BCOV R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT RES2
/METHOD=ENTER Total.X1 Total.X2.
Regression
Notes
Output Created 08-FEB-2017 17:22:43
Comments
Input
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 52
Cases Used
Statistics are based on cases
with no missing values for
any variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF
OUTS BCOV R ANOVA
COLLIN TOL
/CRITERIA=PIN(.05)
POUT(.10)
/NOORIGIN
/DEPENDENT RES2
/METHOD=ENTER
Total.X1 Total.X2.
Resources
Processor Time 00:00:00.02
Elapsed Time 00:00:00.01
Memory Required 1676 bytes
Additional Memory Required
for Residual Plots 0 bytes
[DataSet0]
Variables Entered/Removeda
Model Variables
Entered
Variables
Removed
Method
1 Total.X2,
Total.X1b . Enter
a. Dependent Variable: RES2
b. All requested variables entered.
Model Summary
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
1 .266a .071 .033 3.69983
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 51.076 2 25.538 1.866 .166b
Residual 670.748 49 13.689
Total 721.824 51
a. Dependent Variable: RES2
b. Predictors: (Constant), Total.X2, Total.X1
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig. Collinearity
Statistics
B Std. Error Beta Tolerance
1
(Constant) 5.572 6.085 .916 .364
Total.X1 .215 .165 .199 1.302 .199 .810
Total.X2 -.164 .088 -.283 -1.851 .070 .810
Coefficientsa
Model Collinearity Statistics
VIF
1
(Constant)
Total.X1 1.234
Total.X2 1.234
a. Dependent Variable: RES2
Coefficient Correlationsa
Model Total.X2 Total.X1
1
Correlations
Total.X2 1.000 -.435
Total.X1 -.435 1.000
Covariances
Total.X2 .008 -.006
Total.X1 -.006 .027
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index Variance Proportions
(Constant) Total.X1 Total.X2
1
1 2.989 1.000 .00 .00 .00
2 .007 20.988 .21 .13 .99
3 .004 26.728 .78 .87 .01
a. Dependent Variable: RES2
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS BCOV R ANOVA COLLIN TOL
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Total.y
/METHOD=ENTER Total.X1 Total.X2
/SCATTERPLOT=(*ZPRED ,*SRESID).
Regression
Notes
Output Created 08-FEB-2017 17:28:29
Comments
Input
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File 52
Missing Value Handling
Definition of Missing User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases
with no missing values for
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF
OUTS BCOV R ANOVA
COLLIN TOL
/CRITERIA=PIN(.05)
POUT(.10)
/NOORIGIN
/DEPENDENT Total.y
/METHOD=ENTER
Total.X1 Total.X2
/SCATTERPLOT=(*ZPRED
,*SRESID).
Resources
Processor Time 00:00:01.44
Elapsed Time 00:00:05.34
Memory Required 1644 bytes
Additional Memory Required
for Residual Plots 232 bytes
[DataSet0]
Variables Entered/Removeda
Model Variables
Entered
Variables
Removed
Method
1 Total.X2,
Total.X1b . Enter
a. Dependent Variable: Total.y
b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
1 .706a .498 .478 5.83972
a. Predictors: (Constant), Total.X2, Total.X1
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 1660.681 2 830.340 24.349 .000b
Residual 1671.011 49 34.102
Total 3331.692 51
a. Dependent Variable: Total.y
b. Predictors: (Constant), Total.X2, Total.X1
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig. Collinearity
Statistics
B Std. Error Beta Tolerance
1
(Constant) 4.936 9.605 .514 .610
Total.X1 .362 .260 .156 1.392 .170 .810
Total.X2 .774 .139 .624 5.550 .000 .810
Coefficientsa
Model Collinearity Statistics
VIF
1
(Constant)
Total.X1 1.234
Total.X2 1.234
a. Dependent Variable: Total.y
Coefficient Correlationsa
Model Total.X2 Total.X1
1
Correlations
Total.X2 1.000 -.435
Total.X1 -.435 1.000
Covariances
Total.X2 .019 -.016
Total.X1 -.016 .068
a. Dependent Variable: Total.y
Model Dimension Eigenvalue Condition Index Variance Proportions
(Constant) Total.X1 Total.X2
1
1 2.989 1.000 .00 .00 .00
2 .007 20.988 .21 .13 .99
3 .004 26.728 .78 .87 .01
a. Dependent Variable: Total.y
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value 47.1349 74.6572 62.9231 5.70634 52
Std. Predicted Value -2.767 2.056 .000 1.000 52
Standard Error of Predicted
Value .830 3.194 1.321 .475 52
Adjusted Predicted Value 48.6040 74.4937 63.0208 5.60061 52
Residual -12.92760 16.13335 .00000 5.72407 52
Std. Residual -2.214 2.763 .000 .980 52
Stud. Residual -2.243 2.881 -.008 1.019 52
Deleted Residual -13.27199 17.53952 -.09775 6.20944 52
Stud. Deleted Residual -2.344 3.128 -.007 1.049 52
Mahal. Distance .049 14.277 1.962 2.465 52
Cook's Distance .000 .389 .030 .068 52
Centered Leverage Value .001 .280 .038 .048 52