4.3.2. Analisis Regresi Linier Sederhana
Berikut ini adalah data dari variabel Brand Equity X dan Keputusan Pembelian Y yang telah memiliki skala interval melalui methode succesive interval:
Table 4.28 Skala interval variable brand equity dan keputusan pembelian
Resp X
Y X2
Y2 XY
1
33.792 14.683
1,141.931 215.584
496.168
2
27.208 5.630
740.263 31.697
153.180
3
31.119 10.965
968.406 120.221
341.208
4
34.951 15.550
1,221.556 241.812
543.495
5
36.671 15.550
1,344.778 241.812
570.248
6
31.877 10.965
1,016.174 120.221
349.522
7
34.455 14.785
1,187.137 218.609
509.430
8
25.960 5.000
673.899 25.000
129.798
9
31.917 12.885
1,018.692 166.031
411.259
10
38.293 16.604
1,466.370 275.677
635.802
11
32.908 12.822
1,082.922 164.393
421.930
12
35.881 14.767
1,287.474 218.066
529.862
13
45.131 21.394
2,036.779 457.717
965.541
14
41.092 17.720
1,688.569 314.014
728.172
15
43.306 17.720
1,875.403 314.014
767.401
16
42.723 19.494
1,825.295 380.021
832.857
17
35.981 15.820
1,294.600 250.281
569.222
18
44.637 21.394
1,992.454 457.717
954.977
19
30.880 9.955
953.574 99.103
307.411
20
36.179 15.820
1,308.884 250.281
572.353
21
32.960 12.885
1,086.336 166.031
424.694
22
35.098 14.785
1,231.877 218.609
518.941
23
38.160 16.667
1,456.159 277.797
636.016
24
34.226 13.566
1,171.447 184.032
464.311
25
28.950 8.618
838.086 74.270
249.488
26
38.992 16.604
1,520.337 275.677
647.396
27
38.391 16.667
1,473.895 277.797
639.877
28
39.263 16.667
1,541.595 277.797
654.408
29
34.951 14.785
1,221.556 218.609
516.763
30 28.158
6.535 792.882
42.702 184.005
31 29.795
8.618 887.735
74.270 256.772
32 34.455
13.566 1,187.137
184.032 467.410
33 34.439
14.002 1,186.070
196.061 482.227
34 35.889
15.902 1,288.046
252.886 570.726
35 36.179
15.820 1,308.884
250.281 572.353
36 39.548
16.604 1,564.066
275.677 656.640
37 42.392
17.720 1,797.121
314.014 751.214
38 36.141
15.820 1,306.159
250.281 571.757
39 45.131
21.394 2,036.779
457.717 965.541
40 32.908
12.513 1,082.922
156.566 411.763
41 37.359
15.550 1,395.718
241.812 580.948
42 32.836
11.748 1,078.210
138.011 385.752
43 31.877
10.965 1,016.174
120.221 349.522
44 27.975
5.905 782.588
34.865 165.182
45 45.998
21.394 2,115.799
457.717 984.092
46 37.359
15.550 1,395.718
241.812 580.948
47 37.359
15.820 1,395.718
250.281 591.034
48 39.985
16.604 1,598.807
275.677 663.893
49 43.737
20.341 1,912.910
413.761 889.655
50 42.566
17.720 1,811.863
314.014 754.288
51 44.141
20.341 1,948.444
413.761 897.881
52 37.752
15.550 1,425.184
241.812 587.049
53 46.609
21.394 2,172.365
457.717 997.160
54 40.072
16.667 1,605.758
277.797 667.888
55 39.548
16.604 1,564.066
275.677 656.640
56 42.566
17.720 1,811.863
314.014 754.288
57 46.609
21.394 2,172.365
457.717 997.160
58 43.737
20.277 1,912.910
411.173 886.869
59 42.392
19.576 1,797.121
383.230 829.886
60 34.873
14.785 1,216.117
218.609 515.611
61 35.709
14.785 1,275.116
218.609 527.970
62 37.359
15.951 1,395.718
254.431 595.915
63 33.115
12.513 1,096.629
156.566 414.361
64 28.500
7.243 812.230
52.460 206.421
65 34.226
14.002 1,171.447
196.061 479.245
66 31.928
11.748 1,019.427
138.011 375.089
67 35.108
14.767 1,232.542
218.066 518.435
68 32.680
11.729 1,068.009
137.578 383.321
69 32.204
11.748 1,037.127
138.011 378.331
70 42.392
18.886 1,797.121
356.678 800.620
71 32.204
10.965 1,037.127
120.221 353.107
72 37.465
15.550 1,403.607
241.812 582.588
73 27.208
5.905 740.263
34.865 160.653
74 44.042
18.886 1,939.692
356.678 831.772
75 39.244
16.986 1,540.060
288.515 666.581
76 34.758
13.630 1,208.119
185.765 473.737
77 30.783
9.362 947.592
87.652 288.199
78 34.167
13.566 1,167.374
184.032 463.503
79 39.342
16.986 1,547.772
288.515 668.248
80 32.581
10.965 1,061.547
120.221 357.240
81 38.322
15.820 1,468.602
250.281 606.270
82 44.279
20.341 1,960.639
413.761 900.686
83 38.936
16.667 1,516.036
277.797 648.960
84 44.135
19.576 1,947.917
383.230 864.002
85 34.688
12.513 1,203.234
156.566 434.034
86 40.469
17.068 1,637.744
291.311 690.719
87 34.535
13.630 1,192.694
185.765 470.703
88 31.452
11.748 989.239
138.011 369.493
89 40.958
17.068 1,677.547
291.311 699.062
90 39.025
15.902 1,522.932
252.886 620.587
91 40.582
16.604 1,646.867
275.677 673.797
92 46.609
21.394 2,172.365
457.717 997.160
93 30.715
8.732 943.426
76.252 268.213
94 34.921
14.785 1,219.494
218.609 516.326
95 41.074
16.667 1,687.074
277.797 684.590
96 46.319
21.394 2,145.487
457.717 990.973
97 48.481
21.394 2,350.368
457.717 1,037.210
98 38.082
15.550 1,450.217
241.812 592.182
99 44.141
19.224 1,948.444
369.569 848.578
100 44.141
19.224 1,948.405
369.569 848.569
Jumla h
3,723.217 1,516.646
141,361.200 24,545.151
58,455.333
Sumber : Data kuesioner yang telah diolah
Untuk mengetahui
“ Dampak Brand Equity Terhadap Keputusan Pembelian Yamaha Jupiter MX Survey Pada Konsumen di ANEKA JASA
MOTOR Bandung ”, maka kita menggunakan analisis regresi linear sederhana
dengan model sebagai berikut :
Y = a + bX
Dimana : Y = Keputusan Pembelian X = Brand Equity
a = Konstanta b = Koefisien regresi
Dengan:
2 2
2
x x
n xy
x x
y a
dan
2 2
i i i
i i
i
n X Y
X Y
b n
X X
Dari hasil perhitungan diperoleh : n
= 100 Σ X
= 3,723.217 Σ Y
= 1,516.646 Σ XY = 58,455.333
Σ X
2
= 141,361.200 Σ Y
2
= 24,545.151 Sehingga didapatkan nilai a dan b sebagai berikut :
2 2
2
x x
n xy
x x
y a
2
217 .
723 ,
3 200
. 361
, 141
100 333
. 455
, 58
217 .
723 ,
3 200
. 361
, 141
646 .
516 ,
1 a
859 ,
11 a
2 2
i i i
i i
i
n X Y
X Y
b n
X X
2
217 .
723 ,
3 200
. 361
, 141
100 646
. 516
, 1
217 .
723 ,
3 333
. 455
, 58
100 b
726 ,
b Diperoleh model regresi sebagai berikut:
Y = -11,859 + 0,726 X
Jika dilakukan perhitungan dengan menggunkan software SPSS 17.0 for window, maka output yang dihasilkan adalah sebagai berikut:
Tebel 4.29 Koefisien Regresi Linier Sederhana Brand Equity Dan Keputusan Pembelian
4.3.3. Analisis Koefisien Determinasi
Kategori