Descriptives - Jasa Olah Data Statistik · syntax descriptives variables=x11 x12 x13 x14 x15 x16...

GET DATA

/TYPE=XLS

/FILE='C:\Users\wid\Google Drive\2016\sutarto\datasu.xls'

/SHEET=name 'Inputan Quesioner'

/CELLRANGE=full

/READNAMES=on

/ASSUMEDSTRWIDTH=32767.

EXECUTE.

DATASET NAME DataSet1 WINDOW=FRONT.

SAVE OUTFILE='C:\Users\wid\Google Drive\2016\sutarto\datasu.sav'

/COMPRESSED.

DESCRIPTIVES VARIABLES=X11 X12 X13 X14 X15 X16 X17 X18 X19 X110 X111 X112 X113

X114 X115 X116 X117

X118 X119 X120 X121 X122 X123 X124 X125 X126 X127 KepemimpinanX1 X21 X22

X23 X24 X25 X26 X27 X28

BudayaPerusahaanX2 X31 X32 X33 X34 X35 X36 X37 X38 X39 X310 X311 X312 X313

MotivasiX3 Y1 Y2 Y3 Y4

Y5 Y6 Y7 Y8 Y9 Y10 KinerjaY

/STATISTICS=MEAN STDDEV MIN MAX.

Descriptives

Notes

Output Created 15-SEP-2016 20:40:35

Comments

Input Data C:\Users\wid\Google

Drive\2016\sutarto\datasu.sav

Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File 89

Missing Value Handling Definition of Missing User defined missing values are

treated as missing.

Cases Used All non-missing data are used.

Syntax DESCRIPTIVES VARIABLES=X11

X12 X13 X14 X15 X16 X17 X18 X19

X110 X111 X112 X113 X114 X115

X116 X117

X118 X119 X120 X121 X122 X123

X124 X125 X126 X127

KepemimpinanX1 X21 X22 X23 X24

X25 X26 X27 X28

BudayaPerusahaanX2 X31 X32

X33 X34 X35 X36 X37 X38 X39 X310

X311 X312 X313 MotivasiX3 Y1 Y2 Y3

Y4


/STATISTICS=MEAN STDDEV MIN

MAX.

Resources Processor Time 00:00:00.02

Elapsed Time 00:00:00.02

[DataSet1] C:\Users\wid\Google Drive\2016\sutarto\datasu.sav

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

X1-1 89 2 5 4.58 .580

X1-2 89 2 5 4.52 .642

X1-3 89 3 5 4.54 .545

X1-4 89 3 5 4.51 .567

X1-5 89 2 5 4.48 .642

X1-6 89 1 5 4.16 .638

X1-7 89 3 5 4.58 .518

X1-8 89 3 5 4.63 .551

X1-9 89 3 5 4.25 .589

X1-10 89 2 5 4.33 .617

X1-11 89 1 5 3.90 .989

X1-12 89 3 5 4.55 .522

X1-13 89 2 5 4.39 .685

X1-14 89 2 5 4.12 .636

X1-15 89 2 5 4.11 .532

X1-16 89 3 5 4.30 .647

X1-17 89 3 5 4.58 .518

X1-18 89 1 5 4.33 .653

X1-19 89 2 5 4.26 .716

X1-20 89 2 5 4.00 .739

X1-21 89 2 5 4.44 .639

X1-22 89 2 5 4.15 .632

X1-23 89 1 5 4.28 .738

X1-24 89 2 5 4.03 .730

X1-25 89 2 5 4.21 .593

X1-26 89 3 5 4.15 .512

X1-27 89 1 5 4.33 .687

Kepemimpinan (X1) 89 3.26 5.00 4.3225 .36856

X2-1 89 3 5 4.56 .543

X2-2 89 4 5 4.74 .440

X2-3 89 3 5 4.65 .502

X2-4 89 3 5 4.12 .560

X2-5 89 3 5 4.35 .524

X2-6 89 1 5 4.45 .674

X2-7 89 2 5 4.45 .640

X2-8 89 2 5 4.09 .748

Budaya Perusahaan (X2) 89 3.50 5.00 4.4270 .38334

X3-1 89 2 5 4.57 .620

X3-2 89 2 5 4.47 .676

X3-3 89 3 5 4.65 .502

X3-4 89 2 5 4.64 .549

X3-5 89 2 5 4.63 .591

X3-6 89 2 5 4.55 .564

X3-7 89 3 5 4.64 .506

X3-8 89 3 5 4.47 .545

X3-9 89 2 5 4.60 .578

X3-10 89 3 5 4.64 .506

X3-11 89 3 5 4.63 .509

X3-12 89 3 5 4.42 .580

X3-13 89 2 5 4.48 .586

Motivasi (X3) 89 3.15 5.00 4.5687 .38315

Y1 89 1 5 3.87 .741

Y-2 89 3 5 4.08 .569

Y-3 89 3 5 4.36 .549

Y-4 89 3 5 4.61 .514

Y-5 89 3 5 4.31 .513

Y-6 89 3 5 4.36 .608

Y-7 89 2 5 4.43 .601

Y-8 89 2 5 4.39 .596

Y-9 89 2 5 4.44 .583

Y-10 89 4 5 4.49 .503

Kinerja (Y) 89 3.40 5.00 4.3337 .39942

Valid N (listwise) 89

DATASET ACTIVATE DataSet1.

SAVE OUTFILE='C:\Users\wid\Google Drive\2016\sutarto\datasu.sav'

/COMPRESSED.

FREQUENCIES VARIABLES=X11 X12 X13 X14 X15 X16 X17 X18 X19 X110 X111 X112 X113

X114 X115 X116 X117

X118 X119 X120 X121 X122 X123 X124 X125 X126 X127 KepemimpinanX1 X21 X22

X23 X24 X25 X26 X27 X28

BudayaPerusahaanX2 X31 X32 X33 X34 X35 X36 X37 X38 X39 X310 X311 X312 X313

MotivasiX3 Y1 Y2 Y3 Y4


/BARCHART FREQ

/ORDER=ANALYSIS.

Frequencies

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 89

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.

Syntax FREQUENCIES VARIABLES=X11

X12 X13 X14 X15 X16 X17 X18 X19

X110 X111 X112 X113 X114 X115

X116 X117

X118 X119 X120 X121 X122 X123

X124 X125 X126 X127

KepemimpinanX1 X21 X22 X23 X24

X25 X26 X27 X28

BudayaPerusahaanX2 X31 X32

X33 X34 X35 X36 X37 X38 X39 X310

X311 X312 X313 MotivasiX3 Y1 Y2 Y3

Y4


/BARCHART FREQ

/ORDER=ANALYSIS.



Statistics

X

1

-

1

X

1

-

2

X

1

-

3

X

1

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4

X

1

-

5

X

1

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6

X

1

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7

X

1

-

8

X

1

-

9

X

1

-

1

0

X

1

-

1

1

X

1

-

1

2

X

1

-

1

3

X

1

-

1

4

X

1

-

1

5

X

1

-

1

6

X

1

-

1

7

X

1

-

1

8

X

1

-

1

9

X

1

-

2

0

X

1

-

2

1

X

1

-

2

2

X

1

-

2

3

X

1

-

2

4

X

1

-

2

5

X

1

-

2

6

X

1

-

2

7

Kepe

mi mpi

nan

(X1)

X

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-

1

X

2

-

2

X

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3

X

2

-

4

X

2

-

5

X

2

-

6

X

2

-

7

X

2

-

8

Buday

a

Per us

ahaan

(X2)

X

3

-

1

X

3

-

2

X

3

-

3

X

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-

4

X

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5

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X

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9

X

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-

1

0

X

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-

1

1

X

3

-

1

2

X

3

-

1

3

Moti

vasi

(X3)

Y

1

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K

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(

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)

N V

a

l

i

d

8

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9

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9

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9

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9

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9

89

8

9

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89

8

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89

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M

i

s

s

i

n

g

0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

0

0

Frequency Table

X1-1

Frequency Percent Valid Percent

Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 1 1.1 1.1 2.2

S 32 36.0 36.0 38.2

SS 55 61.8 61.8 100.0

Total 89 100.0 100.0

X1-2


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 4 4.5 4.5 5.6

S 32 36.0 36.0 41.6

SS 52 58.4 58.4 100.0

Total 89 100.0 100.0

X1-3


Cumulative

Percent

Valid N 2 2.2 2.2 2.2

S 37 41.6 41.6 43.8

SS 50 56.2 56.2 100.0

Total 89 100.0 100.0

X1-4


Cumulative

Percent

Valid N 3 3.4 3.4 3.4

S 38 42.7 42.7 46.1

SS 48 53.9 53.9 100.0

Total 89 100.0 100.0

X1-5


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 4 4.5 4.5 5.6

S 35 39.3 39.3 44.9

SS 49 55.1 55.1 100.0

Total 89 100.0 100.0

X1-6


Cumulative

Percent

Valid STS 1 1.1 1.1 1.1

N 6 6.7 6.7 7.9

S 59 66.3 66.3 74.2

SS 23 25.8 25.8 100.0

Total 89 100.0 100.0

X1-7


Cumulative

Percent

Valid N 1 1.1 1.1 1.1

S 35 39.3 39.3 40.4

SS 53 59.6 59.6 100.0

Total 89 100.0 100.0

X1-8


Cumulative

Percent

Valid N 3 3.4 3.4 3.4

S 27 30.3 30.3 33.7

SS 59 66.3 66.3 100.0

Total 89 100.0 100.0

X1-9


Cumulative

Percent

Valid N 7 7.9 7.9 7.9

S 53 59.6 59.6 67.4

SS 29 32.6 32.6 100.0

Total 89 100.0 100.0

X1-10


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 4 4.5 4.5 5.6

S 49 55.1 55.1 60.7

SS 35 39.3 39.3 100.0

Total 89 100.0 100.0

X1-11


Cumulative

Percent

Valid STS 3 3.4 3.4 3.4

TS 4 4.5 4.5 7.9

N 18 20.2 20.2 28.1

S 38 42.7 42.7 70.8

SS 26 29.2 29.2 100.0

Total 89 100.0 100.0

X1-12


Cumulative

Percent

Valid N 1 1.1 1.1 1.1

S 38 42.7 42.7 43.8

SS 50 56.2 56.2 100.0

Total 89 100.0 100.0

X1-13


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 7 7.9 7.9 9.0

S 37 41.6 41.6 50.6

SS 44 49.4 49.4 100.0

Total 89 100.0 100.0

X1-14


Cumulative

Percent

Valid TS 2 2.2 2.2 2.2

N 7 7.9 7.9 10.1

S 58 65.2 65.2 75.3

SS 22 24.7 24.7 100.0

Total 89 100.0 100.0

X1-15


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 5 5.6 5.6 6.7

S 66 74.2 74.2 80.9

SS 17 19.1 19.1 100.0

Total 89 100.0 100.0

X1-16


Cumulative

Percent

Valid N 9 10.1 10.1 10.1

S 44 49.4 49.4 59.6

SS 36 40.4 40.4 100.0

Total 89 100.0 100.0

X1-17


Cumulative

Percent

Valid N 1 1.1 1.1 1.1

S 35 39.3 39.3 40.4

SS 53 59.6 59.6 100.0

Total 89 100.0 100.0

X1-18


Cumulative

Percent

Valid STS 1 1.1 1.1 1.1

N 3 3.4 3.4 4.5

S 50 56.2 56.2 60.7

SS 35 39.3 39.3 100.0

Total 89 100.0 100.0

X1-19


Cumulative

Percent

Valid TS 2 2.2 2.2 2.2

N 8 9.0 9.0 11.2

S 44 49.4 49.4 60.7

SS 35 39.3 39.3 100.0

Total 89 100.0 100.0

X1-20


Cumulative

Percent

Valid TS 6 6.7 6.7 6.7

N 6 6.7 6.7 13.5

S 59 66.3 66.3 79.8

SS 18 20.2 20.2 100.0

Total 89 100.0 100.0

X1-21


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 4 4.5 4.5 5.6

S 39 43.8 43.8 49.4

SS 45 50.6 50.6 100.0

Total 89 100.0 100.0

X1-22


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 9 10.1 10.1 11.2

S 55 61.8 61.8 73.0

SS 24 27.0 27.0 100.0

Total 89 100.0 100.0

X1-23


Cumulative

Percent

Valid STS 1 1.1 1.1 1.1

TS 1 1.1 1.1 2.2

N 6 6.7 6.7 9.0

S 45 50.6 50.6 59.6

SS 36 40.4 40.4 100.0

Total 89 100.0 100.0

X1-24


Cumulative

Percent

Valid TS 4 4.5 4.5 4.5

N 10 11.2 11.2 15.7

S 54 60.7 60.7 76.4

SS 21 23.6 23.6 100.0

Total 89 100.0 100.0

X1-25


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 5 5.6 5.6 6.7

S 57 64.0 64.0 70.8

SS 26 29.2 29.2 100.0

Total 89 100.0 100.0

X1-26


Cumulative

Percent

Valid N 6 6.7 6.7 6.7

S 64 71.9 71.9 78.7

SS 19 21.3 21.3 100.0

Total 89 100.0 100.0

X1-27


Cumulative

Percent

Valid STS 1 1.1 1.1 1.1

TS 1 1.1 1.1 2.2

N 2 2.2 2.2 4.5

S 49 55.1 55.1 59.6

SS 36 40.4 40.4 100.0

Total 89 100.0 100.0

Kepemimpinan (X1)


Cumulative

Percent

Valid 3.26 1 1.1 1.1 1.1

3.37 1 1.1 1.1 2.2

3.52 2 2.2 2.2 4.5

3.63 1 1.1 1.1 5.6

3.74 1 1.1 1.1 6.7

3.78 2 2.2 2.2 9.0

3.85 1 1.1 1.1 10.1

3.89 1 1.1 1.1 11.2

3.93 4 4.5 4.5 15.7

3.96 2 2.2 2.2 18.0

4.00 3 3.4 3.4 21.3

4.07 3 3.4 3.4 24.7

4.11 3 3.4 3.4 28.1

4.15 1 1.1 1.1 29.2

4.19 4 4.5 4.5 33.7

4.26 5 5.6 5.6 39.3

4.30 9 10.1 10.1 49.4

4.33 2 2.2 2.2 51.7

4.37 3 3.4 3.4 55.1

4.41 4 4.5 4.5 59.6

4.44 4 4.5 4.5 64.0

4.48 1 1.1 1.1 65.2

4.52 1 1.1 1.1 66.3

4.56 5 5.6 5.6 71.9

4.59 4 4.5 4.5 76.4

4.63 6 6.7 6.7 83.1

4.67 4 4.5 4.5 87.6

4.74 3 3.4 3.4 91.0

4.81 1 1.1 1.1 92.1

4.85 2 2.2 2.2 94.4

4.89 1 1.1 1.1 95.5

4.93 1 1.1 1.1 96.6

5.00 3 3.4 3.4 100.0

Total 89 100.0 100.0

X2-1


Cumulative

Percent

Valid N 2 2.2 2.2 2.2

S 35 39.3 39.3 41.6

SS 52 58.4 58.4 100.0

Total 89 100.0 100.0

X2-2


Cumulative

Percent

Valid S 23 25.8 25.8 25.8

SS 66 74.2 74.2 100.0

Total 89 100.0 100.0

X2-3


Cumulative

Percent

Valid N 1 1.1 1.1 1.1

S 29 32.6 32.6 33.7

SS 59 66.3 66.3 100.0

Total 89 100.0 100.0

X2-4


Cumulative

Percent

Valid N 9 10.1 10.1 10.1

S 60 67.4 67.4 77.5

SS 20 22.5 22.5 100.0

Total 89 100.0 100.0

X2-5


Cumulative

Percent

Valid N 2 2.2 2.2 2.2

S 54 60.7 60.7 62.9

SS 33 37.1 37.1 100.0

Total 89 100.0 100.0

X2-6


Cumulative

Percent

Valid STS 1 1.1 1.1 1.1

N 3 3.4 3.4 4.5

S 39 43.8 43.8 48.3

SS 46 51.7 51.7 100.0

Total 89 100.0 100.0

X2-7


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 4 4.5 4.5 5.6

S 38 42.7 42.7 48.3

SS 46 51.7 51.7 100.0

Total 89 100.0 100.0

X2-8


Cumulative

Percent

Valid TS 2 2.2 2.2 2.2

N 15 16.9 16.9 19.1

S 45 50.6 50.6 69.7

SS 27 30.3 30.3 100.0

Total 89 100.0 100.0

Budaya Perusahaan (X2)


Cumulative

Percent

Valid 3.50 1 1.1 1.1 1.1

3.63 1 1.1 1.1 2.2

3.75 3 3.4 3.4 5.6

3.88 3 3.4 3.4 9.0

4.00 11 12.4 12.4 21.3

4.13 11 12.4 12.4 33.7

4.25 6 6.7 6.7 40.4

4.38 5 5.6 5.6 46.1

4.50 10 11.2 11.2 57.3

4.63 10 11.2 11.2 68.5

4.75 12 13.5 13.5 82.0

4.88 8 9.0 9.0 91.0

5.00 8 9.0 9.0 100.0

Total 89 100.0 100.0

X3-1


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 3 3.4 3.4 4.5

S 29 32.6 32.6 37.1

SS 56 62.9 62.9 100.0

Total 89 100.0 100.0

X3-2


Cumulative

Percent

Valid TS 2 2.2 2.2 2.2

N 3 3.4 3.4 5.6

S 35 39.3 39.3 44.9

SS 49 55.1 55.1 100.0

Total 89 100.0 100.0

X3-3


Cumulative

Percent

Valid N 1 1.1 1.1 1.1

S 29 32.6 32.6 33.7

SS 59 66.3 66.3 100.0

Total 89 100.0 100.0

X3-4


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

S 29 32.6 32.6 33.7

SS 59 66.3 66.3 100.0

Total 89 100.0 100.0

X3-5


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 2 2.2 2.2 3.4

S 26 29.2 29.2 32.6

SS 60 67.4 67.4 100.0

Total 89 100.0 100.0

X3-6


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

S 37 41.6 41.6 42.7

SS 51 57.3 57.3 100.0

Total 89 100.0 100.0

X3-7


Cumulative

Percent

Valid N 1 1.1 1.1 1.1

S 30 33.7 33.7 34.8

SS 58 65.2 65.2 100.0

Total 89 100.0 100.0

X3-8


Cumulative

Percent

Valid N 2 2.2 2.2 2.2

S 43 48.3 48.3 50.6

SS 44 49.4 49.4 100.0

Total 89 100.0 100.0

X3-9


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 1 1.1 1.1 2.2

S 31 34.8 34.8 37.1

SS 56 62.9 62.9 100.0

Total 89 100.0 100.0

X3-10


Cumulative

Percent

Valid N 1 1.1 1.1 1.1

S 30 33.7 33.7 34.8

SS 58 65.2 65.2 100.0

Total 89 100.0 100.0

X3-11


Cumulative

Percent

Valid N 1 1.1 1.1 1.1

S 31 34.8 34.8 36.0

SS 57 64.0 64.0 100.0

Total 89 100.0 100.0

X3-12


Cumulative

Percent

Valid N 4 4.5 4.5 4.5

S 44 49.4 49.4 53.9

SS 41 46.1 46.1 100.0

Total 89 100.0 100.0

X3-13


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 1 1.1 1.1 2.2

S 41 46.1 46.1 48.3

SS 46 51.7 51.7 100.0

Total 89 100.0 100.0

Motivasi (X3)


Cumulative

Percent

Valid 3.15 1 1.1 1.1 1.1

3.69 1 1.1 1.1 2.2

3.77 2 2.2 2.2 4.5

4.00 6 6.7 6.7 11.2

4.08 2 2.2 2.2 13.5

4.15 5 5.6 5.6 19.1

4.23 3 3.4 3.4 22.5

4.31 1 1.1 1.1 23.6

4.38 9 10.1 10.1 33.7

4.46 3 3.4 3.4 37.1

4.54 9 10.1 10.1 47.2

4.62 4 4.5 4.5 51.7

4.69 5 5.6 5.6 57.3

4.77 4 4.5 4.5 61.8

4.85 11 12.4 12.4 74.2

4.92 9 10.1 10.1 84.3

5.00 14 15.7 15.7 100.0

Total 89 100.0 100.0

Y1


Cumulative

Percent

Valid STS 1 1.1 1.1 1.1

N 25 28.1 28.1 29.2

S 47 52.8 52.8 82.0

SS 16 18.0 18.0 100.0

Total 89 100.0 100.0

Y-2


Cumulative

Percent

Valid N 11 12.4 12.4 12.4

S 60 67.4 67.4 79.8

SS 18 20.2 20.2 100.0

Total 89 100.0 100.0

Y-3


Cumulative

Percent

Valid N 3 3.4 3.4 3.4

S 51 57.3 57.3 60.7

SS 35 39.3 39.3 100.0

Total 89 100.0 100.0

Y-4


Cumulative

Percent

Valid N 1 1.1 1.1 1.1

S 33 37.1 37.1 38.2

SS 55 61.8 61.8 100.0

Total 89 100.0 100.0

Y-5


Cumulative

Percent

Valid N 2 2.2 2.2 2.2

S 57 64.0 64.0 66.3

SS 30 33.7 33.7 100.0

Total 89 100.0 100.0

Y-6


Cumulative

Percent

Valid N 6 6.7 6.7 6.7

S 45 50.6 50.6 57.3

SS 38 42.7 42.7 100.0

Total 89 100.0 100.0

Y-7


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 2 2.2 2.2 3.4

S 44 49.4 49.4 52.8

SS 42 47.2 47.2 100.0

Total 89 100.0 100.0

Y-8


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 2 2.2 2.2 3.4

S 47 52.8 52.8 56.2

SS 39 43.8 43.8 100.0

Total 89 100.0 100.0

Y-9


Cumulative

Percent

Valid TS 1 1.1 1.1 1.1

N 1 1.1 1.1 2.2

S 45 50.6 50.6 52.8

SS 42 47.2 47.2 100.0

Total 89 100.0 100.0

Y-10


Cumulative

Percent

Valid S 45 50.6 50.6 50.6

SS 44 49.4 49.4 100.0

Total 89 100.0 100.0

Kinerja (Y)


Cumulative

Percent

Valid 3.40 1 1.1 1.1 1.1

3.60 2 2.2 2.2 3.4

3.70 3 3.4 3.4 6.7

3.80 5 5.6 5.6 12.4

3.90 4 4.5 4.5 16.9

4.00 15 16.9 16.9 33.7

4.10 2 2.2 2.2 36.0

4.20 5 5.6 5.6 41.6

4.30 7 7.9 7.9 49.4

4.40 6 6.7 6.7 56.2

4.50 10 11.2 11.2 67.4

4.60 9 10.1 10.1 77.5

4.70 4 4.5 4.5 82.0

4.80 5 5.6 5.6 87.6

4.90 5 5.6 5.6 93.3

5.00 6 6.7 6.7 100.0

Total 89 100.0 100.0

Bar Chart

RELIABILITY

/VARIABLES=X11 X12 X13 X14 X15 X16 X17 X18 X19 X110 X111 X112 X113 X114 X115

X116 X117 X118 X119

X120 X121 X122 X123 X124 X125 X126 X127

/SCALE('X1') ALL

/MODEL=ALPHA

/SUMMARY=TOTAL.

Reliability

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 89

Matrix Input


treated as missing.


valid data for all variables in the

procedure.

Syntax RELIABILITY

/VARIABLES=X11 X12 X13 X14 X15

X16 X17 X18 X19 X110 X111 X112

X113 X114 X115 X116 X117 X118

X119

X120 X121 X122 X123 X124 X125

X126 X127

/SCALE('X1') ALL

/MODEL=ALPHA

/SUMMARY=TOTAL.



Scale: X1

Case Processing Summary

N %

Cases Valid 89 100.0

Excludeda 0 .0

Total 89 100.0

a. Listwise deletion based on all variables in the

procedure.

Reliability Statistics

Cronbach's

Alpha N of Items

.923 27

Uji Reliabilitas

Reliabilitas adalah indeks yang menunjukkan sejauh mana suatu alat pengukur

dapat dipercaya atau dapat diandalkan atau menunjukkan konsistensi suatu alat

pengukur di dalam mengukur gejala yang sama.

Hasil perhitungan di atas menunjukkan bahwa instrumen untuk X1 memiliki angka

reliabilitas yang sangat tinggi (Cronbach’s Alpha = 0.923), karena menurut Nunnaly

(1967) dan Hinkle (2004) ataupun indeks yang biasa digunakan dalam penelitian

sosial, apabila angka Cronbach’s Alpha (α) diatas 0.60 menunjukkan bahwa

konstruk atau variabel adalah reliabel.

Tabel r Product Moment

Pada Sig.0,05 (Two Tail)

N r N r N r N r N r N r

1 0.997 41 0.301 81 0.216 121 0.177 161 0.154 201 0.138

2 0.95 42 0.297 82 0.215 122 0.176 162 0.153 202 0.137

3 0.878 43 0.294 83 0.213 123 0.176 163 0.153 203 0.137

4 0.811 44 0.291 84 0.212 124 0.175 164 0.152 204 0.137

5 0.754 45 0.288 85 0.211 125 0.174 165 0.152 205 0.136

6 0.707 46 0.285 86 0.21 126 0.174 166 0.151 206 0.136

7 0.666 47 0.282 87 0.208 127 0.173 167 0.151 207 0.136

8 0.632 48 0.279 88 0.207 128 0.172 168 0.151 208 0.135

9 0.602 49 0.276 89 0.206 129 0.172 169 0.15 209 0.135

10 0.576 50 0.273 90 0.205 130 0.171 170 0.15 210 0.135

11 0.553 51 0.271 91 0.204 131 0.17 171 0.149 211 0.134

12 0.532 52 0.268 92 0.203 132 0.17 172 0.149 212 0.134

13 0.514 53 0.266 93 0.202 133 0.169 173 0.148 213 0.134

14 0.497 54 0.263 94 0.201 134 0.168 174 0.148 214 0.134

15 0.482 55 0.261 95 0.2 135 0.168 175 0.148 215 0.133

16 0.468 56 0.259 96 0.199 136 0.167 176 0.147 216 0.133

17 0.456 57 0.256 97 0.198 137 0.167 177 0.147 217 0.133

18 0.444 58 0.254 98 0.197 138 0.166 178 0.146 218 0.132

19 0.433 59 0.252 99 0.196 139 0.165 179 0.146 219 0.132

20 0.423 60 0.25 100 0.195 140 0.165 180 0.146 220 0.132

21 0.413 61 0.248 101 0.194 141 0.164 181 0.145 221 0.131

22 0.404 62 0.246 102 0.193 142 0.164 182 0.145 222 0.131

23 0.396 63 0.244 103 0.192 143 0.163 183 0.144 223 0.131

24 0.388 64 0.242 104 0.191 144 0.163 184 0.144 224 0.131

25 0.381 65 0.24 105 0.19 145 0.162 185 0.144 225 0.13

26 0.374 66 0.239 106 0.189 146 0.161 186 0.143 226 0.13

27 0.367 67 0.237 107 0.188 147 0.161 187 0.143 227 0.13

28 0.361 68 0.235 108 0.187 148 0.16 188 0.142 228 0.129

29 0.355 69 0.234 109 0.187 149 0.16 189 0.142 229 0.129

30 0.349 70 0.232 110 0.186 150 0.159 190 0.142 230 0.129

31 0.344 71 0.23 111 0.185 151 0.159 191 0.141 231 0.129

32 0.339 72 0.229 112 0.184 152 0.158 192 0.141 232 0.128

33 0.334 73 0.227 113 0.183 153 0.158 193 0.141 233 0.128

34 0.329 74 0.226 114 0.182 154 0.157 194 0.14 234 0.128

35 0.325 75 0.224 115 0.182 155 0.157 195 0.14 235 0.127

36 0.32 76 0.223 116 0.181 156 0.156 196 0.139 236 0.127

37 0.316 77 0.221 117 0.18 157 0.156 197 0.139 237 0.127

38 0.312 78 0.22 118 0.179 158 0.155 198 0.139 238 0.127

39 0.308 79 0.219 119 0.179 159 0.155 199 0.138 239 0.126

40 0.304 80 0.217 120 0.178 160 0.154 200 0.138 240 0.126

Tabel di atas menunjukkan nilai r untuk jumlah data (N) tertentu. Pada

penelitian ini data yang digunakan berjumlah 89, sehingga nilai r table adalah

0.206

Item-Total Statistics

Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected

Item-Total

Correlation

Cronbach's

Alpha if Item

Deleted

X1-1 112.12 93.996 .417 .922

X1-2 112.19 91.861 .549 .920

X1-3 112.17 93.051 .540 .920

X1-4 112.20 92.550 .565 .920

X1-5 112.22 93.222 .435 .921

X1-6 112.55 93.000 .457 .921

X1-7 112.12 92.905 .586 .919

X1-8 112.08 92.823 .555 .920

X1-9 112.46 92.365 .558 .920

X1-10 112.38 91.125 .638 .918

X1-11 112.81 90.793 .385 .925

X1-12 112.16 93.907 .479 .921

X1-13 112.31 90.264 .638 .918

X1-14 112.58 93.064 .453 .921

X1-15 112.60 92.903 .570 .920

X1-16 112.40 89.903 .710 .917

X1-17 112.12 92.723 .605 .919

X1-18 112.38 91.580 .562 .920

X1-19 112.45 91.296 .528 .920

X1-20 112.71 90.800 .546 .920

X1-21 112.27 92.131 .529 .920

X1-22 112.56 91.885 .557 .920

X1-23 112.43 89.907 .612 .919

X1-24 112.67 89.472 .653 .918

X1-25 112.49 92.571 .535 .920

X1-26 112.56 94.476 .431 .921

X1-27 112.38 92.148 .486 .921

Uji validitas

Uji validitas konstruk dilakukan untuk mengukur sah atau valid tidaknya suatu

kuesioner. Suatu kuesioner dikatakan valid jika pertanyaan kuesioner mampu

untuk mengungkapkan sesuatu yang akan diukur oleh kuesioner tersebut. Uji

signikansi dilakukan dengan membandingkan r hitung dengan r tabel atau

membandingkan nilai p atau sig dengan level of significance (biasanya = 0.05).

Jika r hitung lebih besar dari r tabel atau nilai p atau sig < 0.05, maka

pernyataan tersebut valid.

Pada tabel di atas, karena semua nilai r hitung (Corrected Item Total

Correlation) > r table (0.206) , maka disimpulkan bahwa indikator-indikator

kuesioner variabel X1 dinyatakan valid untuk digunakan sebagai alat ukur

variabel.

RELIABILITY

/VARIABLES=X21 X22 X23 X24 X25 X26 X27 X28

/SCALE('X2') ALL

/MODEL=ALPHA

/SUMMARY=TOTAL.

Reliability

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 89

Matrix Input


treated as missing.



procedure.

Syntax RELIABILITY


X26 X27 X28

/SCALE('X2') ALL

/MODEL=ALPHA

/SUMMARY=TOTAL.



Scale: X2


N %


Excludeda 0 .0

Total 89 100.0


procedure.


Cronbach's

Alpha N of Items

.808 8







Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected

Item-Total

Correlation

Cronbach's

Alpha if Item

Deleted

X2-1 30.85 7.490 .546 .784

X2-2 30.67 7.995 .488 .793

X2-3 30.76 7.978 .414 .801

X2-4 31.29 7.527 .508 .789

X2-5 31.07 7.427 .596 .777

X2-6 30.97 6.965 .558 .782

X2-7 30.97 7.101 .556 .781

X2-8 31.33 6.699 .554 .785




variabel.

RELIABILITY

/VARIABLES=X31 X32 X33 X34 X35 X36 X37 X38 X39 X310 X311 X312 X313

/SCALE('X3') ALL

/MODEL=ALPHA

/SUMMARY=TOTAL.

Reliability

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 89

Matrix Input


treated as missing.



procedure.

Syntax RELIABILITY


X36 X37 X38 X39 X310 X311 X312

X313

/SCALE('X3') ALL

/MODEL=ALPHA

/SUMMARY=TOTAL.



Scale: X3


N %


Excludeda 0 .0

Total 89 100.0


procedure.


Cronbach's

Alpha N of Items

.902 13







Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected

Item-Total

Correlation

Cronbach's

Alpha if Item

Deleted

X3-1 54.82 20.831 .636 .894

X3-2 54.92 21.551 .447 .904

X3-3 54.74 21.626 .628 .895

X3-4 54.75 21.347 .623 .895

X3-5 54.76 21.569 .526 .899

X3-6 54.84 20.748 .728 .890

X3-7 54.75 21.802 .583 .896

X3-8 54.92 21.391 .618 .895

X3-9 54.80 21.368 .581 .896

X3-10 54.75 21.620 .624 .895

X3-11 54.76 21.455 .657 .893

X3-12 54.98 21.227 .607 .895

X3-13 54.91 20.515 .744 .889




variabel.

RELIABILITY

/VARIABLES=Y1 Y2 Y3 Y4 Y5 Y6 Y7 Y8 Y9 Y10

/SCALE('Y') ALL

/MODEL=ALPHA

/SUMMARY=TOTAL.

Reliability

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 89

Matrix Input


treated as missing.



procedure.

Syntax RELIABILITY

/VARIABLES=Y1 Y2 Y3 Y4 Y5 Y6

Y7 Y8 Y9 Y10

/SCALE('Y') ALL

/MODEL=ALPHA

/SUMMARY=TOTAL.



Scale: Y


N %


Excludeda 0 .0

Total 89 100.0


procedure.


Cronbach's

Alpha N of Items

.876 10

Hasil perhitungan di atas menunjukkan bahwa instrumen untuk Y memiliki angka






Scale Mean if

Item Deleted

Scale Variance

if Item Deleted

Corrected

Item-Total

Correlation

Cronbach's

Alpha if Item

Deleted

Y1 39.47 12.366 .583 .868

Y-2 39.26 12.967 .650 .860

Y-3 38.98 13.227 .608 .863

Y-4 38.73 13.563 .562 .867

Y-5 39.02 13.409 .607 .864

Y-6 38.98 13.227 .533 .869

Y-7 38.91 12.810 .647 .860

Y-8 38.94 12.781 .661 .859

Y-9 38.90 13.183 .574 .866

Y-10 38.84 13.475 .603 .864



kuesioner variabel Y dinyatakan valid untuk digunakan sebagai alat ukur

variabel.

CORRELATIONS

/VARIABLES=KepemimpinanX1 BudayaPerusahaanX2 MotivasiX3 KinerjaY

/PRINT=TWOTAIL NOSIG

/MISSING=PAIRWISE.

Correlations

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 89


treated as missing.

Cases Used Statistics for each pair of variables are

based on all the cases with valid data

for that pair.

Syntax CORRELATIONS

/VARIABLES=KepemimpinanX1

BudayaPerusahaanX2 MotivasiX3

KinerjaY

/PRINT=TWOTAIL NOSIG

/MISSING=PAIRWISE.



Correlations

Kepemimpin

an (X1)

Budaya

Perusahaan

(X2)

Motivasi

(X3)

Kinerja

(Y)

Kepemimpinan (X1) Pearson

Correlation 1 .612

** .650

** .568

**

Sig. (2-tailed) .000 .000 .000

N 89 89 89 89

Budaya Perusahaan

(X2)

Pearson

Correlation .612

** 1 .710

** .580

**

Sig. (2-tailed) .000 .000 .000

N 89 89 89 89

Motivasi (X3) Pearson

Correlation .650

** .710

** 1 .726

**

Sig. (2-tailed) .000 .000 .000

N 89 89 89 89

Kinerja (Y) Pearson

Correlation .568

** .580

** .726

** 1

Sig. (2-tailed) .000 .000 .000

N 89 89 89 89

**. Correlation is significant at the 0.01 level (2-tailed).

Analisis Korelasi Kuat lemahnya hubungan dua variabel ditunjukkan oleh nilai Pearson Correlation (R) dimana nilai secara umum dibagi menjadi sbb: 0 – 0.25 korelasi sangat lemah 0.25 – 0.50 korelasi moderat 0.50 – 0.75 korelasi kuat 0.75 – 1.00 korelasi sangat kuat

1. Hipotesis:

H0: Tidak ada korelasi yang nyata antara X1 dan Y

H1: Ada korelasi yang nyata antara X1 dan Y

Dasar Pengambilan Keputusan

Jika probalitasnya (nilai sig) > 0.05 maka H0 tidak ditolak

Jika probalitasnya (nilai sig) < 0.05 maka H0 ditolak

Keputusan:

Pada tabel di atas, nilai sig = 0.000 < 0.05 H0 ditolak, yang berarti

ada korelasi positif yang nyata antara X1 dan Y. Koefisen korelasi R =

0.568 menunjukkan tingkat hubungan kedua variabel pada tingkat kuat

untuk skala 0 – 1. Tanda **) pada nilai R menunjukkan bahwa korelasi

tersebut nyata pada taraf nyata (level of significance) 0.01.

2. Hipotesis:






Keputusan:



0.580 menunjukkan tingkat hubungan kedua variabel pada tingkat

sangat kuat moderat untuk skala 0 – 1. Tanda **) pada nilai R

menunjukkan bahwa korelasi tersebut nyata pada taraf nyata (level of

significance) 0.01.

3. Hipotesis:






Keputusan:



0.726 menunjukkan tingkat hubungan kedua variabel pada tingkat kuat

untuk skala 0 – 1. Tanda **) pada nilai R menunjukkan bahwa korelasi

tersebut nyata pada taraf nyata (level of significance) 0.01.

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA COLLIN TOL

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT KinerjaY

/METHOD=ENTER KepemimpinanX1 BudayaPerusahaanX2 MotivasiX3

/SCATTERPLOT=(*ZRESID ,*ZPRED)

/RESIDUALS HISTOGRAM(ZRESID) NORMPROB(ZRESID)

/SAVE SRESID.

Regression

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


File 89


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 R

ANOVA COLLIN TOL


/NOORIGIN

/DEPENDENT KinerjaY

/METHOD=ENTER

KepemimpinanX1


/SCATTERPLOT=(*ZRESID

,*ZPRED)

/RESIDUALS

HISTOGRAM(ZRESID)

NORMPROB(ZRESID)

/SAVE SRESID.



Memory Required 6112 bytes

Additional Memory Required

for Residual Plots 648 bytes

Variables Created or

Modified

SRE_1 Studentized Residual

Variables Entered/Removeda

Model

Variables

Entered

Variables

Removed Method

1 Motivasi (X3),

Kepemimpinan

(X1), Budaya

Perusahaan

(X2)b

. Enter

a. Dependent Variable: Kinerja (Y)

b. All requested variables entered.

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .739a .547 .531 .27365

a. Predictors: (Constant), Motivasi (X3), Kepemimpinan (X1), Budaya

Perusahaan (X2)

b. Dependent Variable: Kinerja (Y)

Koefisien Determinasi

Nilai R square = 0.547 dari tabel di atas menunjukkan 54.7% dari varians Y

dapat dijelaskan oleh perubahan dalam variabel X1, X2 dan X3. Sedangkan

45.3% sisanya dijelaskan oleh faktor lain di luar model.

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression 7.674 3 2.558 34.158 .000b

Residual 6.365 85 .075

Total 14.039 88


b. Predictors: (Constant), Motivasi (X3), Kepemimpinan (X1), Budaya Perusahaan (X2)

Uji F dimaksudkan untuk menguji apakah variabel-variabel independen

secara bersama-sama berpengaruh signifikan terhadap variabel

dependen.

Hipotesis:

H0: variabel-variabel independen secara bersama-sama tidak

berpengaruh signifikan terhadap variabel dependen

H1: variabel-variabel independen secara bersama-sama berpengaruh

signifikan terhadap variabel dependen


Jika probabilitasnya (nilai sig) > 0.05 atau F hitung < F tabel maka H0

tidak ditolak

Jika probabilitasnya (nilai sig) < 0.05 atau F hitung > F tabel maka H0

ditolak

Keputusan:

Pada tabel di atas nilai sig = 0.000 < 0.05, sehingga H0 ditolak, yang

berarti variabel-variabel independen secara bersama-sama berpengaruh

signifikan terhadap variabel dependen.

Coefficientsa

Model

Unstandardized

Coefficients

Standardized

Coefficients

t Sig.

Collinearity Statistics

B Std. Error Beta Tolerance VIF

1 (Constant) .541 .391 1.383 .170

Kepemimpinan (X1) .155 .109 .143 1.431 .156 .531 1.882

Budaya Perusahaan

(X2) .091 .113 .087 .805 .423 .456 2.191

Motivasi (X3) .595 .117 .571 5.077 .000 .422 2.372


Uji t dimaksudkan untuk menguji apakah variabel independen secara parsial berpengaruh signifikan terhadap variabel dependen.

Hipotesis:

H0: variabel independen secara parsial tidak berpengaruh signifikan

terhadap variabel dependen

H1: variabel independen secara parsial berpengaruh signifikan

terhadap variabel dependen


Jika probabilitasnya (nilai sig) > 0.05 atau - t tabel< t hitung< t tabel

maka H0 tidakditolak

Jika probabilitasnya (nilai sig) < 0.05 atau t hitung< - t tabel atau t

hitung> t tabel maka H0 ditolak, diterima H1.

Keputusan:

1. Pada tabel di atas nilai sig variabel X1= 0.156 > 0.05 sehingga H0 tidak ditolak, yang berarti variabel independen ini secara parsial tidak berpengaruh signifikan terhadap variabel Y.

2. Pada tabel di atas nilai sig variabel X2= 0.423 > 0.05 sehingga

H0 tidak ditolak, yang berarti variabel independen ini secara parsial tidak berpengaruh signifikan terhadap variabel Y.

3. Pada tabel di atas nilai sig variabel X3 = 0.000 < 0.05

sehingga H0 ditolak, yang berarti variabel independen ini secara parsial berpengaruh positif dan signifikan terhadap variabel Y. Makin tinggi X3, makin tinggi Y. Demikian juga sebaliknya.

Dengan demikian persamaan estimasinya adalah :

Y = 0.541 + 0.155*X1 + 0.091*X2 + 0.595 *X3 + e

Uji Multikolinearitas

Multikolinearitas (kolinearitas ganda) berarti adanya hubungan linear

yang sempurna di antara variabel-variabel bebas dalam model regresi.

Korelasi yang kuat antar variabel bebas menunjukkan adanya

multikolinearitas. Jika terdapat korelasi yang sempurna di antara

variabel bebas, maka konsekuensinya adalah koefisien-koefisien regresi

menjadi tidak dapat ditaksir, nilai standard error setiap regresi menjadi

tidak terhingga

Gejala multikolinearitas terjadi bila nilai tolerance kurang dari 0.1 atau

VIF lebih dari 10.

Kesimpulan:

Berdasarkan nilai VIF yang berada di bawah 10, dan nilai tolerance >

0.1, disimpulkan tidak terjadi multikolinieritas antar variabel independen.

Collinearity Diagnosticsa

Model Dimension

Eigenvalu

e

Condition

Index

Variance Proportions

(Constant

)

Kepemimpin

an (X1)

Budaya

Perusahaan

(X2)

Motivasi

(X3)

1 1 3.991 1.000 .00 .00 .00 .00

2 .004 30.997 .98 .04 .10 .06

3 .003 37.380 .02 .89 .33 .04

4 .002 44.467 .00 .07 .56 .90


Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 3.2874 4.7477 4.3337 .29530 89

Std. Predicted Value -3.543 1.402 .000 1.000 89

Standard Error of Predicted

Value .031 .133 .055 .018 89

Adjusted Predicted Value 3.2524 4.7504 4.3337 .29801 89

Residual -.66762 .57272 .00000 .26894 89

Std. Residual -2.440 2.093 .000 .983 89

Stud. Residual -2.541 2.112 .000 1.004 89

Deleted Residual -.72445 .58311 .00001 .28100 89

Stud. Deleted Residual -2.628 2.157 -.001 1.015 89

Mahal. Distance .128 19.895 2.966 3.080 89

Cook's Distance .000 .137 .011 .019 89

Centered Leverage Value .001 .226 .034 .035 89


Charts

Uji Normalitas secara visual

Secara penampakan visual residual berdistribusi normal, karena disribusi residual mendekati

distribusi normal teoritis (bentuk lonceng)

Uji Heteroskedastisitas secara Visual

Pendeteksian ada tidaknya heteroskedastisitas dilakukan dengan cara

melihat diagram pencarnya (scatterplot diagram). Bila ada pola tertentu,

seperti titik-titik yang membentuk suatu pola tertentu dan teratur

(bergelombang, melebar kemudian menyempit) maka terjadi

heteroskedastisitas. Jika tidak ada pola yang jelas, serta titik-titik

menyebar maka tidak terjadi heteroskedastisitas.

Berdasarkan diagram scatterplot di atas, terlihat bahwa data tidak

membentuk suatu pola tertentu (berpencar tidak teratur). Hal ini berarti

model penelitian terbebas dari masalah heterokedastisitas.

NPAR TESTS

/K-S(NORMAL)=SRE_1

/MISSING ANALYSIS.

NPar Tests

Notes


Comments




Filter <none>

Weight <none>

Split File <none>


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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)=SRE_1

/MISSING ANALYSIS.



Number of Cases Alloweda 786432

a. Based on availability of workspace memory.

One-Sample Kolmogorov-Smirnov Test

Studentized

Residual

N 89

Normal Parametersa,b

Mean -.0000262

Std. Deviation 1.00432785

Most Extreme Differences Absolute .048

Positive .040

Negative -.048

Test Statistic .048

Asymp. Sig. (2-tailed) .200c,d

a. Test distribution is Normal.

b. Calculated from data.

c. Lilliefors Significance Correction.

d. This is a lower bound of the true significance.

Uji normalitas (uji Kolmogorov- Smirnov)

Uji normalitas adalah untuk melihat apakah nilai residual terdistribusi

normal atau tidak. Model regresi yang baik adalah memiliki nilai residual

yang terdistribusi normal. Jadi uji normalitas bukan dilakukan pada

masing-masing variabel tetapi pada nilai residualnya.

Hipotesis:

H0: data berdistribusi normal

H1: data tidak berdistribusi normal


Jika probabilitasnya (nilai sig) > 0.05 maka H0 tidak ditolak

Jika probabilitasnya (nilai sig) < 0.05 maka H0 ditolak

Keputusan:

Pada tabel di atas nilai sig = 0.200 > 0.05, sehingga H0 tidak ditolak, yang berarti data residual berdistribusi normal.

COMPUTE AbsRes=abs(SRE_1).

EXECUTE.

REGRESSION

/MISSING LISTWISE

/STATISTICS COEFF OUTS R ANOVA


/NOORIGIN

/DEPENDENT AbsRes

/METHOD=ENTER KepemimpinanX1 BudayaPerusahaanX2 MotivasiX3

/SCATTERPLOT=(*ZRESID ,*ZPRED)

/RESIDUALS HISTOGRAM(ZRESID) NORMPROB(ZRESID)

/SAVE SRESID.

Regression

Notes


Comments




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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 R

ANOVA


/NOORIGIN

/DEPENDENT AbsRes

/METHOD=ENTER

KepemimpinanX1


/SCATTERPLOT=(*ZRESID

,*ZPRED)

/RESIDUALS

HISTOGRAM(ZRESID)

NORMPROB(ZRESID)

/SAVE SRESID.



Memory Required 6192 bytes

Additional Memory Required

for Residual Plots 648 bytes

Variables Created or

Modified

SRE_2 Studentized Residual

Variables Entered/Removeda

Model

Variables

Entered

Variables

Removed Method

1 Motivasi (X3),

Kepemimpinan

(X1), Budaya

Perusahaan

(X2)b

. Enter

a. Dependent Variable: AbsRes

b. All requested variables entered.

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate

1 .131a .017 -.017 .60848

a. Predictors: (Constant), Motivasi (X3), Kepemimpinan (X1), Budaya

Perusahaan (X2)

b. Dependent Variable: AbsRes

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression .551 3 .184 .496 .686b

Residual 31.471 85 .370

Total 32.021 88


b. Predictors: (Constant), Motivasi (X3), Kepemimpinan (X1), Budaya Perusahaan (X2)

Coefficientsa

Model

Unstandardized

Coefficients

Standardized

Coefficients

t Sig. B Std. Error Beta

1 (Constant) .315 .869 .363 .718

Kepemimpinan (X1) -.082 .241 -.050 -.339 .736

Budaya Perusahaan

(X2) -.131 .250 -.083 -.522 .603

Motivasi (X3) .310 .261 .197 1.188 .238


Uji Heteroskedastisitas

Heteroskedastisitas adalah kondisi dimana seluruh faktor gangguan

tidak memiliki varian yang sama. Heteroskedastisitas akan

menyebabkan penaksiran koefisien-koefisien regresi menjadi tidak

efisien.

Pendeteksian ada tidaknya heteroskedastisitas mengunakan uji Glejser

yang meregresikan nilai absolute residual terhadap variabel independen.

Hipotesis:

H0: tidak terjadi heteroskedastisitas

H1: terjadi heteroskedastisitas


Jika probabilitasnya (nilai sig) > 0.05 maka H0 tidak ditolak

Jika probabilitasnya (nilai sig) < 0.05 maka H0 ditolak

Keputusan:

Pada tabel di atas nilai sig variabel X1, X2 dan X3 adalah 0.736, 0.603

dan 0.238 dimana ketiganya > 0.05, sehingga H0 tidak ditolak, yang

berarti tidak terjadi heteroskedastisitas pada variable X1, X2 dan X3

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value .5030 1.0203 .7985 .07909 89

Std. Predicted Value -3.735 2.804 .000 1.000 89

Standard Error of Predicted

Value .069 .296 .123 .040 89

Adjusted Predicted Value .5130 .9869 .7992 .08024 89

Residual -.82213 1.60515 .00000 .59802 89

Std. Residual -1.351 2.638 .000 .983 89

Stud. Residual -1.391 2.748 -.001 1.004 89

Deleted Residual -.87098 1.74178 -.00069 .62407 89

Stud. Deleted Residual -1.398 2.862 .004 1.014 89

Mahal. Distance .128 19.895 2.966 3.080 89

Cook's Distance .000 .161 .011 .019 89

Centered Leverage Value .001 .226 .034 .035 89


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