LAMPIRAN 1 KUESIONER PENELITIAN

(1)

LAMPIRAN 1

KUESIONER PENELITIAN

Saudara/saudari yang saya hormati,

Saya mahasiswa Fakultas Ekonomi, Universitas Islam Indonesia yang tengah

melaksanakan tugas akhir dengan judul “Analisis Pengaruh Kebutuhan mencari

Variasi, Ketidakpuasan Konsumen dan, Harga terhadap Perilaku Perpindahan

Merek dariSmartphone Berbasis Blackberry ke Android”. Sehubungan dengan hal

tersebut, saya sangat mengharapkan ketersediaan Saudara/i untuk mengisi kuesioner ini.

Saya menyadari bahwa waktu Saudara/i sangat berharga, untuk itu saya sangat

berterima kasih atas kesediaan dan perhatian Saudara/i yang telah meluangkan waktu

untuk kuesioner ini. Partisipasi Saudara/i sangat berguna dalam memberikan kontribusi

dalam penelitian ini. Seluruh jawaban dalam kuesioner ini akan dijamin kerahasiaannya.

Hormat saya,

Moch. Ardi Fagumi

10311503

Identitas responden

1. Nama

:

2. Usia

:

Tahun

3. Jenis Kelamin :

(L/P)

4. Pekerjaan

:

5. Penghasilan per bulan :

a. Kurang dari Rp1.000.000,00

b. 1.000.001,00 - Rp2.000.000,00

c. Rp 2.000.001,00- Rp3.000.000,00

d. Lebih dari Rp3.000.001,00

(2)

Berdasarkan jawaban Saudara/i di atas, isilah kolom sebelah kanan di bawah ini

dengan tanda check list (√) sesuai dengan kondisi yang Saudara/i rasakan saat ini.

Berikut adalah penjelasan tiap kode yang ada.

Keterangan :

STS

Sangat Tidak Setuju

Skor 1

TS

Tidak Setuju

Skor 2

CS

Cukup Setuju

Skor 3

S

Setuju

Skor 4

SS

Sangat Setuju

Skor 5

KEBUTUHAN MENCARI VARIASI

NO.

PERNYATAAN

STS

TS

CS

S

SS

1. Saya merasa tertarik mencoba Smartphone

selain Smartphone BlackBerry

2. Saya merasa bosan / jenuh menggunakan

Smartphone Blackberry

3. _{Saya merasa tertantang menggunakan system}

operasi berbasis Android

4. Saya merasa bosan menggunakan fitur fitur

dan aplikasi di Smartphone Blackberry

5. Saya

merasa

berkeinginan

memiliki

Smartphone Android yang memiliki fitur dan

teknologi yang lebih baik

KETIDAKPUASAN KONSUMEN

6. Smartphone berbasis sering mengalami freeze

dan lambat merespon perintah

7. Smartphone berbasis Blackberry memiliki

_{kecepatan mengakses internet yang lambat dan}

tidak stabil.

(3)

8. Fitur yang dimiliki Smartphone Blackberry

tidak memberikan banyak manfaat

9. Aplikasi yang disediakan Blackberry sulit

untuk diakses dikarenakan aplikasi berbayar.

10. Fitur

_{Blackberry tidak sesuai dengan yang saya}

yang

diberikan

oleh

Smartphone

harapkan.

11. Fitur BBM yang diunggulkan Blackberry yang

diunggulkan, tidak diutamakan lagi karena

dapat diakses oleh Smartphone merek lain.

HARGA

12 Dengan harga yang sama atau lebih murah dari

Smartphone Blackberrry , saya dapat meiliki

Smartphone yang fitur fitur dan aplikasi nya lebih

canggih

13 Dengan harga yang sama atau lebih murah dari

Smartphone Blackberrry saya dapat memiliki

smartphone yang lebih bermanfaat

14 Dengan harga yang sama atau lebih murah dari

Smartphone Blackberrry, saya dapat memiliki

smartphone dengan kualitas kamera yang lebih

baik .

15 Dengan harga yang sama atau lebih murah dari

Smartphone Blackberrry saya dapat memiliki

smartphone dengan aplikasi yang lebih lengkap

dan gratis .

PERPINDAHAN MEREK

16 Saya

berpindah

menggunakan

Smartphone

Blackberry ke Android karena Smartphone

Blackbeery sering mengalami Hang

17 Saya

berpindah

menggunakan

Smartphone

Blackberry ke Android karena teknologi yang

disuguhkan Android lebih canggih .

(4)

fitur fitur yang lebih berkualitas

19 Saya tidak akan menggunakan Smartphone

Blackberry lagi karena Smartphone Android

menyediakan aplikasi yang lengkap dan gratis .

(5)

(6)

(7)

(8)

(9)

(10)

Lampiran 3 : Uji Validitas dan Reliabilitas 75, 150

Correlations

Reliability

Correlations 1 ,461** ,641** ,718** ,234* ,797** ,000 ,000 ,000 ,043 ,000 75 75 75 75 75 75 ,461** 1 ,674** ,429** ,375** ,787** ,000 ,000 ,000 ,001 ,000 75 75 75 75 75 75 ,641** ,674** 1 ,700** ,245* ,848** ,000 ,000 ,000 ,034 ,000 75 75 75 75 75 75 ,718** ,429** ,700** 1 ,162 ,775** ,000 ,000 ,000 ,164 ,000 75 75 75 75 75 75 ,234* ,375** ,245* ,162 1 ,569** ,043 ,001 ,034 ,164 ,000 75 75 75 75 75 75 ,797** ,787** ,848** ,775** ,569** 1 ,000 ,000 ,000 ,000 ,000 75 75 75 75 75 75 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N X1.1 X1.2 X1.3 X1.4 X1.5 X1 X1.1 X1.2 X1.3 X1.4 X1.5 X1

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

Correlation is significant at the 0.05 level (2-tailed). *.

Case Processing Summary 75 100,0 0 ,0 75 100,0 Valid Excludeda Total Cases N %

Listwise deletion based on all variables in the procedure. a.

Reliability Statistics

,800 5

Cronbach's

(11)

Correlations

Reliability

Correlations 1 ,330** ,220 ,245* ,434** ,231* ,611** ,004 ,058 ,034 ,000 ,046 ,000 75 75 75 75 75 75 75 ,330** 1 ,409** ,214 ,246* ,196 ,594** ,004 ,000 ,065 ,033 ,092 ,000 75 75 75 75 75 75 75 ,220 ,409** 1 ,515** ,575** ,336** ,758** ,058 ,000 ,000 ,000 ,003 ,000 75 75 75 75 75 75 75 ,245* ,214 ,515** 1 ,622** ,261* ,703** ,034 ,065 ,000 ,000 ,024 ,000 75 75 75 75 75 75 75 ,434** ,246* ,575** ,622** 1 ,371** ,806** ,000 ,033 ,000 ,000 ,001 ,000 75 75 75 75 75 75 75 ,231* ,196 ,336** ,261* ,371** 1 ,578** ,046 ,092 ,003 ,024 ,001 ,000 75 75 75 75 75 75 75 ,611** ,594** ,758** ,703** ,806** ,578** 1 ,000 ,000 ,000 ,000 ,000 ,000 75 75 75 75 75 75 75 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N X2.1 X2.2 X2.3 X2.4 X2.5 X2.6 X2 X2.1 X2.2 X2.3 X2.4 X2.5 X2.6 X2

Correlation is significant at the 0.05 level (2-tailed). *.

,763 6

Cronbach's

(12)

Correlations

Reliability

Correlations 1 ,596** ,610** ,313** ,842** ,000 ,000 ,006 ,000 75 75 75 75 75 ,596** 1 ,609** ,340** ,840** ,000 ,000 ,003 ,000 75 75 75 75 75 ,610** ,609** 1 ,396** ,819** ,000 ,000 ,000 ,000 75 75 75 75 75 ,313** ,340** ,396** 1 ,607** ,006 ,003 ,000 ,000 75 75 75 75 75 ,842** ,840** ,819** ,607** 1 ,000 ,000 ,000 ,000 75 75 75 75 75 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N X3.1 X3.2 X3.3 X3.4 X3 X3.1 X3.2 X3.3 X3.4 X3

,779 4

Cronbach's

(13)

Correlations

Reliability

Correlations 1 ,701** ,826** ,834** ,942** ,000 ,000 ,000 ,000 75 75 75 75 75 ,701** 1 ,625** ,597** ,808** ,000 ,000 ,000 ,000 75 75 75 75 75 ,826** ,625** 1 ,837** ,919** ,000 ,000 ,000 ,000 75 75 75 75 75 ,834** ,597** ,837** 1 ,914** ,000 ,000 ,000 ,000 75 75 75 75 75 ,942** ,808** ,919** ,914** 1 ,000 ,000 ,000 ,000 75 75 75 75 75 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Y1.1 Y1.2 Y1.3 Y1.4 Y

Y1.1 Y1.2 Y1.3 Y1.4 Y

,919 4

Cronbach's

(14)

Uji Validitas Dan Realibilitas 150

Correlations

Reliability

Correlations 1 ,479** ,618** ,718** ,215** ,764** ,000 ,000 ,000 ,008 ,000 150 150 150 150 150 150 ,479** 1 ,685** ,475** ,327** ,756** ,000 ,000 ,000 ,000 ,000 150 150 150 150 150 150 ,618** ,685** 1 ,733** ,371** ,860** ,000 ,000 ,000 ,000 ,000 150 150 150 150 150 150 ,718** ,475** ,733** 1 ,371** ,838** ,000 ,000 ,000 ,000 ,000 150 150 150 150 150 150 ,215** ,327** ,371** ,371** 1 ,644** ,008 ,000 ,000 ,000 ,000 150 150 150 150 150 150 ,764** ,756** ,860** ,838** ,644** 1 ,000 ,000 ,000 ,000 ,000 150 150 150 150 150 150 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N X1.1 X1.2 X1.3 X1.4 X1.5 X1 X1.1 X1.2 X1.3 X1.4 X1.5 X1

,812 5

Cronbach's

(15)

Correlations

Reliability

Correlations 1 ,397** ,307** ,346** ,514** ,385** ,684** ,000 ,000 ,000 ,000 ,000 ,000 150 150 150 150 150 150 150 ,397** 1 ,532** ,286** ,416** ,219** ,659** ,000 ,000 ,000 ,000 ,007 ,000 150 150 150 150 150 150 150 ,307** ,532** 1 ,536** ,586** ,398** ,778** ,000 ,000 ,000 ,000 ,000 ,000 150 150 150 150 150 150 150 ,346** ,286** ,536** 1 ,677** ,250** ,711** ,000 ,000 ,000 ,000 ,002 ,000 150 150 150 150 150 150 150 ,514** ,416** ,586** ,677** 1 ,485** ,852** ,000 ,000 ,000 ,000 ,000 ,000 150 150 150 150 150 150 150 ,385** ,219** ,398** ,250** ,485** 1 ,636** ,000 ,007 ,000 ,002 ,000 ,000 150 150 150 150 150 150 150 ,684** ,659** ,778** ,711** ,852** ,636** 1 ,000 ,000 ,000 ,000 ,000 ,000 150 150 150 150 150 150 150 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N X2.1 X2.2 X2.3 X2.4 X2.5 X2.6 X2 X2.1 X2.2 X2.3 X2.4 X2.5 X2.6 X2

,815 6

Cronbach's

(16)

Correlations

Reliability

Correlations 1 ,595** ,669** ,291** ,826** ,000 ,000 ,000 ,000 150 150 150 150 150 ,595** 1 ,624** ,421** ,856** ,000 ,000 ,000 ,000 150 150 150 150 150 ,669** ,624** 1 ,410** ,834** ,000 ,000 ,000 ,000 150 150 150 150 150 ,291** ,421** ,410** 1 ,642** ,000 ,000 ,000 ,000 150 150 150 150 150 ,826** ,856** ,834** ,642** 1 ,000 ,000 ,000 ,000 150 150 150 150 150 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N X3.1 X3.2 X3.3 X3.4 X3 X3.1 X3.2 X3.3 X3.4 X3

,792 4

Cronbach's

(17)

Correlations

Reliability

Correlations 1 ,730** ,855** ,837** ,937** ,000 ,000 ,000 ,000 150 150 150 150 150 ,730** 1 ,711** ,677** ,856** ,000 ,000 ,000 ,000 150 150 150 150 150 ,855** ,711** 1 ,851** ,934** ,000 ,000 ,000 ,000 150 150 150 150 150 ,837** ,677** ,851** 1 ,922** ,000 ,000 ,000 ,000 150 150 150 150 150 ,937** ,856** ,934** ,922** 1 ,000 ,000 ,000 ,000 150 150 150 150 150 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N Y1.1 Y1.2 Y1.3 Y1.4 Y

Y1.1 Y1.2 Y1.3 Y1.4 Y

,932 4

Cronbach's

(18)

Lampiran 4 : Frekuensi Karakteristik Responden

Frequencies

JK 86 57,3 57,3 57,3 64 42,7 42,7 100,0 150 100,0 100,0 Laki-laki Perempuan Total Valid

Frequency Percent Valid Percent

Cumulative Percent Umur 23 15,3 15,3 15,3 22 14,7 14,7 30,0 22 14,7 14,7 44,7 7 4,7 4,7 49,3 13 8,7 8,7 58,0 13 8,7 8,7 66,7 10 6,7 6,7 73,3 11 7,3 7,3 80,7 12 8,0 8,0 88,7 4 2,7 2,7 91,3 13 8,7 8,7 100,0 150 100,0 100,0 19 20 22 23 24 25 26 27 29 32 36 Total Valid

Cumulative Percent Pekerjaan 11 7,3 7,3 7,3 12 8,0 8,0 15,3 106 70,7 70,7 86,0 1 ,7 ,7 86,7 4 2,7 2,7 89,3 16 10,7 10,7 100,0 150 100,0 100,0 Belum Karyawan Mahasisw Musisi Perawat PNS Total Valid

Cumulative Percent

(19)

Lampiran 5 : Frekuensi Variabel

Interval Skala

Interval

Kategori

1,00 s/d 1,79

Sangat Tidak Setuju

1,80 s/d 2,59

Tidak Setuju

2,60 s/d 3,39

Cukup Setuju

3,40 s/d 4,19

Setuju

4,20 s/d 5,00

Sangat Setuju

Pdptn 7 4,7 4,7 4,7 47 31,3 31,3 36,0 90 60,0 60,0 96,0 6 4,0 4,0 100,0 150 100,0 100,0 < Rp.500.000,- Rp.1.000.100,-Rp.2.000.000,- Rp.2.000.100-Rp.> Rp. 3.000.000,-Total Valid

Cumulative Percent

(20)

Descriptives

Descriptive Statistics

N Minimum Maximum Mean Std. Deviation

X1.1 150 2,00 5,00 3,9400 ,77051 X1.2 150 2,00 5,00 4,0667 ,77431 X1.3 150 2,00 5,00 3,9200 ,68070 X1.4 150 2,00 5,00 3,9867 ,75072 X1.5 150 2,00 5,00 3,3133 1,00426 X1 150 2,00 5,00 3,8453 ,60696 X2.1 150 1,00 3,00 2,2600 ,59562 X2.2 150 1,00 3,00 2,3200 ,58298 X2.3 150 1,00 3,00 2,4000 ,60201 X2.4 150 1,00 3,00 2,2533 ,55788 X2.5 150 1,00 3,00 2,4200 ,60501 X2.6 150 1,00 3,00 2,1000 ,58791 X2 150 1,00 3,00 2,2927 ,42411 X3.1 150 1,00 5,00 3,6000 ,91226 X3.2 150 1,00 5,00 3,5000 ,93944 X3.3 150 2,00 5,00 3,9200 ,62948 X3.4 150 2,00 5,00 4,1200 ,71344 X3 150 1,75 5,00 3,7850 ,63525 Y1.1 150 2,00 5,00 3,6400 ,92888 Y1.2 150 2,00 5,00 3,2000 ,94833 Y1.3 150 2,00 5,00 3,4400 ,89353 Y1.4 150 2,00 5,00 3,4533 ,94540 Y 150 2,00 5,00 3,4333 ,84726 Valid N (listwise) 150

(21)

Lampiran 6 : Regresi Linier Berganda

Regression

Variables Entered/Removedb X3, X2, X1a _. _Enter Model 1 Variables Entered Variables Removed Method All requested variables entered.

a. Dependent Variable: Y b. Model Summaryb ,537a _,288 _,273 _,72225 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Predictors: (Constant), X3, X2, X1 a. Dependent Variable: Y b. ANOVAb 30,798 3 10,266 19,680 ,000a 76,160 146 ,522 106,958 149 Regression Residual Total Model 1 Sum of

Squares df Mean Square F Sig.

Predictors: (Constant), X3, X2, X1 a. Dependent Variable: Y b. Coefficientsa 1,461 ,587 2,491 ,014 ,226 ,106 ,162 2,129 ,035 ,846 1,182 ,375 ,147 ,188 2,543 ,012 ,896 1,116 ,519 ,104 ,389 4,972 ,000 ,797 1,255 (Constant) X1 X2 X3 Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients

t Sig. Tolerance VIF Collinearity Statistics

Dependent Variable: Y a.

(22)

Residuals Statisticsa 2,1277 4,4591 3,4333 ,45464 150 -2,872 2,256 ,000 1,000 150 ,066 ,288 ,109 ,045 150 2,1390 4,4553 3,4368 ,45626 150 -1,81382 1,88704 ,00000 ,71494 150 -2,511 2,613 ,000 ,990 150 -2,622 2,631 -,002 1,003 150 -1,97788 1,91359 -,00344 ,73400 150 -2,677 2,686 ,000 1,014 150 ,233 22,757 2,980 3,973 150 ,000 ,156 ,007 ,018 150 ,002 ,153 ,020 ,027 150 Predicted Value Std. Predicted Value Standard Error of Predicted Value

Adjusted Predicted Value Residual

Std. Residual Stud. Residual Deleted Residual Stud. Deleted Residual Mahal. Distance Cook's Distance

Centered Leverage Value

Minimum Maximum Mean Std. Deviation N

Dependent Variable: Y a.

(23)

Lampiran 7 : Uji Asumsi

NPar Tests

Means

Case Processing Summary

150 100,0% 0 ,0% 150 100,0% 150 100,0% 0 ,0% 150 100,0% 150 100,0% 0 ,0% 150 100,0% Y * X1 Y * X2 Y * X3

N Percent N Percent N Percent

Included Excluded Total

Cases

One-Sample Kolmogorov-Smirnov Test

150 ,0000000 ,66668400 ,100 ,100 -,085 1,004 ,266 N Mean Std. Deviation Normal Parameters a,b

Absolute Positive Negative Most Extreme Differences Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed)

Unstandardiz ed Residual

Test distribution is Normal. a.

Calculated from data. b.

(24)

**Y * X1**

Report Y 3,5625 4 ,87500 2,7500 6 ,00000 2,0000 2 ,00000 3,1250 2 ,17678 2,7500 3 ,00000 3,1481 27 1,06577 2,8750 12 ,13056 2,7813 8 ,41052 3,9274 31 ,79633 4,0673 26 ,52229 2,6250 4 ,75000 3,3913 23 ,47569 4,0000 2 1,41421 3,4333 150 ,84726 X1 2,00 2,60 2,80 3,00 3,20 3,40 3,60 3,80 4,00 4,20 4,40 4,60 5,00 Total Mean N Std. Deviation ANOVA Table 39,221 12 3,268 6,610 ,000 8,268 1 8,268 16,722 ,000 30,953 11 2,814 5,691 ,000 67,737 137 ,494 106,958 149 (Combined) Linearity

Deviation from Linearity Between Groups Within Groups Total Y * X1 Sum of

Measures of Association

,278 ,077 ,606 ,367

Y * X1

(25)

**Y * X2**

Report Y 3,8333 9 ,85696 4,5000 3 ,00000 3,7500 23 ,84611 3,6400 25 ,86325 3,4844 16 ,98518 3,0640 43 ,69456 3,4211 19 ,85413 2,9318 11 ,11677 5,0000 1 . 3,4333 150 ,84726 X2 1,00 1,67 2,00 2,17 2,33 2,50 2,67 2,83 3,00 Total Mean N Std. Deviation ANOVA Table 19,360 8 2,420 3,895 ,000 7,974 1 7,974 12,834 ,000 11,387 7 1,627 2,618 ,014 87,598 141 ,621 106,958 149 (Combined) Linearity

-,273 ,075 ,425 ,181

Y * X2

(26)

**Y * X3**

Report Y 2,0000 1 . 2,2500 2 ,00000 2,2500 5 ,00000 2,8611 9 ,39747 3,3800 25 1,06585 2,9318 11 ,11677 3,0000 23 ,52764 3,7051 39 ,72064 4,3125 12 ,21651 3,7727 11 ,60678 4,0000 12 ,90453 3,4333 150 ,84726 X3 1,75 2,00 2,50 3,00 3,25 3,50 3,75 4,00 4,25 4,50 5,00 Total Mean N Std. Deviation ANOVA Table 39,237 10 3,924 8,053 ,000 25,998 1 25,998 53,361 ,000 13,239 9 1,471 3,019 ,003 67,722 139 ,487 106,958 149 (Combined) Linearity

,493 ,243 ,606 ,367

Y * X3

(27)

Regression

Variables Entered/Removedb X3, X2, X1a _. _Enter Model 1 Variables Entered Variables Removed Method All requested variables entered.

a.

Dependent Variable: ABS_RES b. Model Summaryb ,208a _,043 _,023 _,46785151 Model 1 R R Square Adjusted R Square Std. Error of the Estimate Predictors: (Constant), X3, X2, X1 a.

Dependent Variable: ABS_RES b. ANOVAb 1,438 3 ,479 2,190 ,092a 31,957 146 ,219 33,395 149 Regression Residual Total Model 1 Sum of

Predictors: (Constant), X3, X2, X1 a.

Dependent Variable: ABS_RES b. Coefficientsa -,028 ,380 -,073 ,942 ,127 ,069 ,162 1,844 ,067 -,056 ,095 -,050 -,585 ,560 ,055 ,068 ,074 ,820 ,414 (Constant) X1 X2 X3 Model 1 B Std. Error Unstandardized Coefficients Beta Standardized Coefficients t Sig.

Dependent Variable: ABS_RES a.

(28)

Residuals Statisticsa ,2800112 ,7479713 ,5407002 ,09824286 150 -2,654 2,110 ,000 1,000 150 ,042 ,187 ,071 ,029 150 ,2656157 ,7795485 ,5410515 ,09948257 150 -,602209 1,367982 ,00000000 ,46311765 150 -1,287 2,924 ,000 ,990 150 -1,336 2,991 ,000 1,003 150 -,648595 1,461403 -,000351 ,47597477 150 -1,339 3,077 ,006 1,019 150 ,233 22,757 2,980 3,973 150 ,000 ,202 ,007 ,020 150 ,002 ,153 ,020 ,027 150 Predicted Value Std. Predicted Value Standard Error of Predicted Value

Adjusted Predicted Value Residual

Std. Residual Stud. Residual Deleted Residual Stud. Deleted Residual Mahal. Distance Cook's Distance

Centered Leverage Value

Minimum Maximum Mean Std. Deviation N

Dependent Variable: ABS_RES a.