Materi Regresi Terapan Tugas Regresi Dummy
Tugas Regresi Dummy
Tugas kelompok 1
Kelompok 1 : Nisa dan Jeky
Obs
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
Modelkan data berikut dengan model regresi yang sesuai
Uji Asumsi dan atasi masalahnya
Interpretasikan
Tulis dalam makalah dan dipresentasikan
liquidity
(Y)
0.825
1.039
0.854
1.065
1.442
1.620
1.477
1.108
3.224
1.160
1.711
0.936
1.076
1.829
1.270
1.505
1.035
1.075
1.033
1.468
2.521
1.218
0.803
1.039
2.768
0.593
3.364
1.101
1.155
1.242
1.383
1.478
1.350
3.386
4.016
Age(X1)
4
21
2
15
43
59
30
20
12
8
12
24
11
30
2
48
2
13
4
38
40
26
18
30
9
38
9
1
2
2
6
9
32
2
2
Region(X2)
Athens
Athens
Larissa
Athens
Ahaia
Athens
Kalamata
Piraeus
Salonica
Komotini
Athens
Creta
Creta
Ioannina
Athens
Athens
Serres
Athens
Kilkis
Salonica
Athens
Athens
athens
Fthiotis
salonica
athens
athens
athenw
creta
athens
salonica
athens
athenw
athens
,athens
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
2.333
0.654
2.031
1.485
1.142
2.067
1.408
1.280
3.291
2.308
3.180
0.941
0.603
4.388
1.281
2.768
1.362
3.191
0.511
2.706
1.458
4.812
1.194
1.089
1.501
3.484
2.082
1.187
3.167
2.498
1.549
3.176
3.837
4.174
1.244
1.283
0.205
1.137
1.225
1.168
1.439
1.477
2.635
1.742
1.164
1.461
1.097
1.292
2.194
0.774
3
1
19
13
1
25
12
8
2
8
11
29
18
25
78
21
16
12
10
11
8
6
18
2
14
8
3
2
18
58
7
22
9
2
13
2
3
1
19
13
21
19
29
28
10
11
11
24
9
19
salonica
kastoria
athens
athens
salonica
athens
salonica
athens
athens
kastoria
athens
viotia
lamia
athens
Trikala
serres
athens
salonica
athens
salonica
athens
athens
athens
athens
piraeus
athens
athens
athens
attica
athens
athens
athens
athens
athens
athens
piraeus
naousa
athens
athens
salonica
salonica
larissa
athens
athens
athens
athens
athens
athens
athens
attica
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
0.661
5.200
1.575
1.144
0.939
1.992
1.558
1.286
1.286
0.509
5.200
5.200
1.646
2.940
1.495
4.222
1.056
3.459
1.561
1.925
0.933
1.196
1.176
1.264
0.488
1.566
1.967
0.961
0.865
1.192
1.259
1.163
1.231
1.151
4.478
2.066
1.954
1.577
2.645
1.183
1.254
1.552
0.562
1.090
4.628
1.830
2.440
4.650
2.875
1.130
4
2
4
19
13
58
26
26
4
13
11
2
30
6
5
19
14
15
19
29
10
13
13
7
18
1
6
7
1
49
6
6
35
1
7
1
19
5
40
19
2
2
10
22
3
14
2
2
7
40
Korinth
athens
athens
athens
attica
attica
attica
attica
serres
lamia
creta
kozani
volos
thassos
lamia
athens
attica
salonica
attica
larissa
larissa
athens
creta
salonica
attica
komotini
attica
attica
piraeus
piraeus
attica
salonica
attica
attica
salonica
amficlia
athens
kilkis
athens
salonica
athens
athens
attica
attica
viotia
koropi
halkida
trikala
viotia
piraeus
136
137
138
139
140
141
142
143
0.721
2.283
1.599
5.200
1.099
1.237
0.800
1.338
9
1
2
1
9
16
2
11
salonica
attica
attica
attica
athens
athens
salonica
patras
Tugas Kelompok 2
Kelompok 2 : Meilinda, Ika, Danang
Modelkan data berikut dengan model regresi yang sesuai
Uji Asumsi dan atasi masalahnya
Interpretasikan
Tulis dalam makalah dan dipresentasikan
Liquidity
Proxy (Y)
1.994
1.038
1.095
0.941
1.363
0.838
2.051
1.492
1.376
5.200
4.763
0.688
0.924
2.711
1.367
0.955
1.407
1.367
1.901
1.580
2.130
1.887
1.675
1.673
1.087
2.064
1.209
2.021
1.969
Jumlah
Karyawan(X1)
8
48
30
42
35
17
20
60
47
40
50
45
35
60
5
5
7
18
30
50
7
38
8
70
85
110
13
6
35
Sector(X2)
food
food
food
food
food
food
food
food
food
food
drinks
drinks
drinks
drinks
textiles
textiles
textiles
textiles
textiles
textiles
textiles
textiles
textiles
textiles
textiles
textiles
textiles
garments
garments
1.614
0.975
1.122
2.125
1.450
1.046
1.518
5.200
1.347
1.361
1.598
1.010
0.929
1.677
4.070
4.739
1.027
1.790
1.815
5.200
1.523
3.533
1.301
0.924
1.233
1.047
1.477
0.825
1.116
0.756
1.285
0.369
1.248
1.173
1.056
1.426
1.028
1.810
1.208
1.028
3.836
0.980
2.022
1.267
5.200
5.187
1.278
1.205
1.208
1.069
30
50
25
48
25
25
25
10
13
65
65
10
53
30
3
70
65
12
14
20
34
30
45
43
50
13
17
32
72
40
23
9
19
33
28
14
45
35
65
17
8
19
9
10
45
20
45
37
30
45
garments
garments
garments
garments
garments
garments
garments
garments
garments
garments
garments
garments
garments
garments
leather
leather
leather
leather
wood
wood
wood
furniture
furniture
furniture
furniture
paper
paper
paper
paper
paper
printing
printing
printing
printing
printing
printing
printing
printing
printing
printing
plastics
plastics
plastics
plastics
plastics
plastics
plastics
plastics
plastics
plastics
1.069
1.138
1.435
1.127
1.438
1.681
1.757
1.472
1.254
1.400
1.131
1.653
4.901
4.814
52
26
4
25
22
27
35
26
10
67
40
25
30
49
1.631
14
1.820
20
1.088
28
0.956
25
2.195
40
2.361
65
1.075
70
0.851
37
0.992
50
1.056
37
0.745
34
2.470
70
5.200
30
2.180
1.837
1.989
1.421
1.135
0.956
1.213
0.979
1.724
2.921
5.200
30
24
21
25
17
40
50
35
25
43
5
plastics
chemicals
chemicals
chemicals
chemicals
chemicals
chemicals
chemicals
chemicals
chemicals
chemicals
chemicals
petroleum
petroleum
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
basic
metal
basic
metal
metal prod
metal prod
metal prod
metal prod
metal prod
metal prod
metal prod
metal prod
metal prod
machinery
1.318
1.038
1.474
1.135
2.350
1.731
1.507
2.000
0.980
0.957
2.216
2.856
0.672
1.800
1.287
1.449
1.020
1.338
1.288
0.746
1.810
5.200
0.173
2.155
1.197
0.993
5
18
4
30
40
105
47
20
40
5
13
35
20
50
45
3
30
27
11
35
35
25
15
20
5
40
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
sundry
sundry
sundry
sundry
sundry
sundry
sundry
sundry
Tugas kelompok 1
Kelompok 1 : Nisa dan Jeky
Obs
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
Modelkan data berikut dengan model regresi yang sesuai
Uji Asumsi dan atasi masalahnya
Interpretasikan
Tulis dalam makalah dan dipresentasikan
liquidity
(Y)
0.825
1.039
0.854
1.065
1.442
1.620
1.477
1.108
3.224
1.160
1.711
0.936
1.076
1.829
1.270
1.505
1.035
1.075
1.033
1.468
2.521
1.218
0.803
1.039
2.768
0.593
3.364
1.101
1.155
1.242
1.383
1.478
1.350
3.386
4.016
Age(X1)
4
21
2
15
43
59
30
20
12
8
12
24
11
30
2
48
2
13
4
38
40
26
18
30
9
38
9
1
2
2
6
9
32
2
2
Region(X2)
Athens
Athens
Larissa
Athens
Ahaia
Athens
Kalamata
Piraeus
Salonica
Komotini
Athens
Creta
Creta
Ioannina
Athens
Athens
Serres
Athens
Kilkis
Salonica
Athens
Athens
athens
Fthiotis
salonica
athens
athens
athenw
creta
athens
salonica
athens
athenw
athens
,athens
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
2.333
0.654
2.031
1.485
1.142
2.067
1.408
1.280
3.291
2.308
3.180
0.941
0.603
4.388
1.281
2.768
1.362
3.191
0.511
2.706
1.458
4.812
1.194
1.089
1.501
3.484
2.082
1.187
3.167
2.498
1.549
3.176
3.837
4.174
1.244
1.283
0.205
1.137
1.225
1.168
1.439
1.477
2.635
1.742
1.164
1.461
1.097
1.292
2.194
0.774
3
1
19
13
1
25
12
8
2
8
11
29
18
25
78
21
16
12
10
11
8
6
18
2
14
8
3
2
18
58
7
22
9
2
13
2
3
1
19
13
21
19
29
28
10
11
11
24
9
19
salonica
kastoria
athens
athens
salonica
athens
salonica
athens
athens
kastoria
athens
viotia
lamia
athens
Trikala
serres
athens
salonica
athens
salonica
athens
athens
athens
athens
piraeus
athens
athens
athens
attica
athens
athens
athens
athens
athens
athens
piraeus
naousa
athens
athens
salonica
salonica
larissa
athens
athens
athens
athens
athens
athens
athens
attica
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
0.661
5.200
1.575
1.144
0.939
1.992
1.558
1.286
1.286
0.509
5.200
5.200
1.646
2.940
1.495
4.222
1.056
3.459
1.561
1.925
0.933
1.196
1.176
1.264
0.488
1.566
1.967
0.961
0.865
1.192
1.259
1.163
1.231
1.151
4.478
2.066
1.954
1.577
2.645
1.183
1.254
1.552
0.562
1.090
4.628
1.830
2.440
4.650
2.875
1.130
4
2
4
19
13
58
26
26
4
13
11
2
30
6
5
19
14
15
19
29
10
13
13
7
18
1
6
7
1
49
6
6
35
1
7
1
19
5
40
19
2
2
10
22
3
14
2
2
7
40
Korinth
athens
athens
athens
attica
attica
attica
attica
serres
lamia
creta
kozani
volos
thassos
lamia
athens
attica
salonica
attica
larissa
larissa
athens
creta
salonica
attica
komotini
attica
attica
piraeus
piraeus
attica
salonica
attica
attica
salonica
amficlia
athens
kilkis
athens
salonica
athens
athens
attica
attica
viotia
koropi
halkida
trikala
viotia
piraeus
136
137
138
139
140
141
142
143
0.721
2.283
1.599
5.200
1.099
1.237
0.800
1.338
9
1
2
1
9
16
2
11
salonica
attica
attica
attica
athens
athens
salonica
patras
Tugas Kelompok 2
Kelompok 2 : Meilinda, Ika, Danang
Modelkan data berikut dengan model regresi yang sesuai
Uji Asumsi dan atasi masalahnya
Interpretasikan
Tulis dalam makalah dan dipresentasikan
Liquidity
Proxy (Y)
1.994
1.038
1.095
0.941
1.363
0.838
2.051
1.492
1.376
5.200
4.763
0.688
0.924
2.711
1.367
0.955
1.407
1.367
1.901
1.580
2.130
1.887
1.675
1.673
1.087
2.064
1.209
2.021
1.969
Jumlah
Karyawan(X1)
8
48
30
42
35
17
20
60
47
40
50
45
35
60
5
5
7
18
30
50
7
38
8
70
85
110
13
6
35
Sector(X2)
food
food
food
food
food
food
food
food
food
food
drinks
drinks
drinks
drinks
textiles
textiles
textiles
textiles
textiles
textiles
textiles
textiles
textiles
textiles
textiles
textiles
textiles
garments
garments
1.614
0.975
1.122
2.125
1.450
1.046
1.518
5.200
1.347
1.361
1.598
1.010
0.929
1.677
4.070
4.739
1.027
1.790
1.815
5.200
1.523
3.533
1.301
0.924
1.233
1.047
1.477
0.825
1.116
0.756
1.285
0.369
1.248
1.173
1.056
1.426
1.028
1.810
1.208
1.028
3.836
0.980
2.022
1.267
5.200
5.187
1.278
1.205
1.208
1.069
30
50
25
48
25
25
25
10
13
65
65
10
53
30
3
70
65
12
14
20
34
30
45
43
50
13
17
32
72
40
23
9
19
33
28
14
45
35
65
17
8
19
9
10
45
20
45
37
30
45
garments
garments
garments
garments
garments
garments
garments
garments
garments
garments
garments
garments
garments
garments
leather
leather
leather
leather
wood
wood
wood
furniture
furniture
furniture
furniture
paper
paper
paper
paper
paper
printing
printing
printing
printing
printing
printing
printing
printing
printing
printing
plastics
plastics
plastics
plastics
plastics
plastics
plastics
plastics
plastics
plastics
1.069
1.138
1.435
1.127
1.438
1.681
1.757
1.472
1.254
1.400
1.131
1.653
4.901
4.814
52
26
4
25
22
27
35
26
10
67
40
25
30
49
1.631
14
1.820
20
1.088
28
0.956
25
2.195
40
2.361
65
1.075
70
0.851
37
0.992
50
1.056
37
0.745
34
2.470
70
5.200
30
2.180
1.837
1.989
1.421
1.135
0.956
1.213
0.979
1.724
2.921
5.200
30
24
21
25
17
40
50
35
25
43
5
plastics
chemicals
chemicals
chemicals
chemicals
chemicals
chemicals
chemicals
chemicals
chemicals
chemicals
chemicals
petroleum
petroleum
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
non
metalic
basic
metal
basic
metal
metal prod
metal prod
metal prod
metal prod
metal prod
metal prod
metal prod
metal prod
metal prod
machinery
1.318
1.038
1.474
1.135
2.350
1.731
1.507
2.000
0.980
0.957
2.216
2.856
0.672
1.800
1.287
1.449
1.020
1.338
1.288
0.746
1.810
5.200
0.173
2.155
1.197
0.993
5
18
4
30
40
105
47
20
40
5
13
35
20
50
45
3
30
27
11
35
35
25
15
20
5
40
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
machinery
sundry
sundry
sundry
sundry
sundry
sundry
sundry
sundry