Практична робота №6
Приклад. Перевірити наявність автокореляції залишків (масив даних у таблиці 2.25), використовуючи критерій Дарбіна—Уотсона.
Таблиця 2.25 – Вихідні дані
1 |
Y |
100 |
120 |
130 |
125 |
140 |
150 |
155 |
160 |
100 |
120 |
x1 |
30 |
35 |
40 |
30 |
45 |
30 |
55 |
60 |
30 |
35 |
|
x2 |
90 |
75 |
85 |
90 |
105 |
93 |
97 |
100 |
80 |
75 |
|
2 |
Y |
226 |
224 |
226 |
230 |
253 |
263 |
266 |
277 |
298 |
309 |
x1 |
227 |
232 |
234 |
239 |
251 |
250 |
259 |
255 |
273 |
268 |
|
x2 |
89 |
67 |
72 |
61 |
57 |
71 |
39 |
74 |
60 |
74 |
|
3 |
Y |
268 |
257 |
284 |
282 |
285 |
301 |
299 |
321 |
323 |
343 |
x1 |
189 |
187 |
189 |
186 |
184 |
200 |
192 |
205 |
208 |
217 |
|
x2 |
99 |
98 |
84 |
80 |
66 |
90 |
78 |
79 |
85 |
78 |
|
4 |
Y |
110 |
124 |
127 |
138 |
152 |
177 |
180 |
189 |
204 |
220 |
x1 |
291 |
294 |
292 |
293 |
296 |
308 |
310 |
311 |
318 |
312 |
|
x2 |
78 |
74 |
61 |
60 |
59 |
68 |
74 |
65 |
62 |
43 |
|
5 |
Y |
181 |
188 |
200 |
204 |
232 |
257 |
272 |
278 |
316 |
324 |
x1 |
161 |
171 |
167 |
161 |
168 |
177 |
185 |
176 |
186 |
185 |
|
x2 |
78 |
86 |
85 |
64 |
67 |
75 |
85 |
65 |
65 |
63 |
|
6 |
Y |
206 |
204 |
233 |
246 |
267 |
289 |
301 |
326 |
335 |
342 |
x1 |
196 |
200 |
201 |
215 |
221 |
226 |
217 |
240 |
245 |
242 |
|
x2 |
106 |
98 |
81 |
110 |
99 |
87 |
65 |
83 |
90 |
66 |
|
7 |
Y |
266 |
271 |
281 |
294 |
304 |
321 |
317 |
329 |
328 |
343 |
x1 |
240 |
237 |
258 |
260 |
263 |
267 |
263 |
272 |
274 |
277 |
|
x2 |
81 |
74 |
103 |
95 |
89 |
79 |
73 |
71 |
70 |
69 |
|
8 |
Y |
219 |
222 |
222 |
241 |
256 |
268 |
279 |
295 |
292 |
307 |
x1 |
196 |
187 |
187 |
194 |
194 |
202 |
204 |
208 |
211 |
208 |
|
x2 |
96 |
70 |
74 |
71 |
70 |
72 |
76 |
73 |
86 |
61 |
|
9 |
Y |
123 |
157 |
173 |
175 |
193 |
189 |
208 |
242 |
234 |
227 |
x1 |
206 |
213 |
220 |
217 |
232 |
230 |
245 |
250 |
239 |
256 |
|
x2 |
93 |
82 |
76 |
74 |
83 |
91 |
87 |
70 |
64 |
90 |
|
10 |
Y |
116 |
137 |
147 |
167 |
175 |
189 |
219 |
231 |
228 |
239 |
x1 |
189 |
196 |
197 |
202 |
202 |
201 |
213 |
222 |
208 |
211 |
|
x2 |
95 |
97 |
96 |
100 |
95 |
82 |
89 |
106 |
83 |
75 |
|
11 |
Y |
75 |
67 |
56 |
59 |
51 |
58 |
60 |
65 |
45 |
40 |
x1 |
5 |
6 |
7 |
8 |
8 |
10 |
7 |
8 |
9 |
10 |
|
x2 |
100 |
110 |
112 |
115 |
120 |
135 |
120 |
130 |
110 |
100 |
|
12 |
Y |
55 |
87 |
56 |
59 |
51 |
58 |
60 |
65 |
70 |
50 |
x1 |
15 |
16 |
17 |
18 |
18 |
20 |
17 |
18 |
19 |
15 |
|
x2 |
160 |
170 |
112 |
115 |
120 |
135 |
145 |
100 |
110 |
120 |
|
13 |
Y |
50 |
45 |
55 |
50 |
60 |
70 |
80 |
85 |
75 |
90 |
x1 |
10 |
12 |
9 |
10 |
8 |
6 |
8 |
10 |
12 |
7 |
|
x2 |
70 |
62 |
62 |
60 |
55 |
50 |
82 |
65 |
74 |
87 |
|
14 |
Y |
55 |
57 |
56 |
59 |
51 |
58 |
60 |
50 |
45 |
65 |
x1 |
5 |
6 |
7 |
8 |
9 |
10 |
8 |
9 |
15 |
8 |
|
x2 |
100 |
110 |
112 |
115 |
120 |
135 |
140 |
120 |
110 |
130 |
|
15 |
Y |
50 |
45 |
55 |
50 |
60 |
70 |
52 |
47 |
55 |
50 |
x1 |
10 |
12 |
9 |
10 |
8 |
16 |
10 |
12 |
9 |
10 |
|
x2 |
60 |
62 |
65 |
60 |
55 |
50 |
70 |
62 |
62 |
60 |
|
16 |
Y |
50 |
45 |
55 |
5060 |
70 |
55 |
57 |
56 |
59 |
51 |
x1 |
10 |
12 |
9 |
10 |
8 |
6 |
5 |
6 |
7 |
8 |
|
x2 |
60 |
62 |
62 |
60 |
55 |
50 |
20 |
22 |
20 |
25 |
|
17 |
Y |
50 |
45 |
55 |
50 |
60 |
70 |
50 |
45 |
55 |
50 |
x1 |
10 |
12 |
9 |
10 |
18 |
6 |
15 |
12 |
19 |
10 |
|
x2 |
70 |
62 |
72 |
60 |
55 |
60 |
60 |
82 |
62 |
60 |
|
18 |
Y |
50 |
45 |
55 |
50 |
60 |
70 |
50 |
45 |
55 |
50 |
x1 |
10 |
12 |
19 |
10 |
8 |
16 |
10 |
12 |
9 |
10 |
|
x2 |
90 |
62 |
82 |
60 |
85 |
50 |
70 |
62 |
62 |
80 |
|
19 |
Y |
55 |
57 |
56 |
59 |
51 |
58 |
60 |
50 |
45 |
65 |
x1 |
10 |
12 |
9 |
10 |
8 |
6 |
8 |
10 |
12 |
7 |
|
x2 |
70 |
62 |
62 |
60 |
55 |
50 |
82 |
65 |
74 |
87 |
|
20 |
Y |
100 |
120 |
130 |
125 |
140 |
150 |
155 |
160 |
100 |
120 |
x1 |
30 |
35 |
40 |
30 |
45 |
30 |
55 |
60 |
30 |
35 |
|
x2 |
90 |
75 |
85 |
90 |
105 |
93 |
97 |
100 |
80 |
75 |
|
21 |
Y |
200 |
220 |
230 |
225 |
240 |
250 |
255 |
260 |
200 |
220 |
x1 |
30 |
35 |
40 |
35 |
45 |
50 |
55 |
62 |
30 |
38 |
|
x2 |
80 |
75 |
85 |
90 |
95 |
93 |
97 |
100 |
80 |
75 |
|
22 |
Y |
110 |
130 |
140 |
125 |
140 |
160 |
155 |
180 |
120 |
120 |
x1 |
20 |
25 |
30 |
20 |
35 |
20 |
45 |
50 |
20 |
25 |
|
x2 |
20 |
95 |
85 |
100 |
95 |
103 |
97 |
100 |
90 |
85 |
|
23 |
Y |
100 |
120 |
130 |
125 |
140 |
150 |
155 |
160 |
100 |
120 |
x1 |
30 |
35 |
40 |
30 |
45 |
50 |
55 |
60 |
30 |
35 |
|
x2 |
8 |
17 |
18 |
19 |
19 |
19 |
20 |
9 |
7 |
28 |
|
24 |
Y |
100 |
120 |
130 |
125 |
140 |
150 |
155 |
160 |
150 |
140 |
x1 |
30 |
35 |
40 |
30 |
45 |
50 |
55 |
60 |
65 |
70 |
|
x2 |
28 |
27 |
25 |
20 |
35 |
40 |
45 |
50 |
120 |
125 |
|
25 |
Y |
300 |
280 |
350 |
340 |
330 |
320 |
310 |
300 |
320 |
280 |
x1 |
25 |
20 |
30 |
30 |
28 |
28 |
25 |
24 |
27 |
22 |
|
x2 |
25 |
24 |
26 |
27 |
27 |
25 |
25 |
26 |
24 |
25 |
|
26 |
Y |
350 |
280 |
350 |
340 |
300 |
320 |
320 |
280 |
380 |
340 |
x1 |
26 |
22 |
30 |
30 |
29 |
28 |
25 |
24 |
23 |
21 |
|
x2 |
15 |
14 |
16 |
17 |
17 |
15 |
16 |
14 |
16 |
15 |
|
27 |
Y |
400 |
380 |
350 |
360 |
430 |
420 |
310 |
400 |
350 |
380 |
x1 |
25 |
20 |
30 |
28 |
28 |
25 |
24 |
25 |
20 |
30 |
|
x2 |
35 |
34 |
36 |
37 |
37 |
35 |
36 |
34 |
35 |
34 |
|
28 |
Y |
320 |
280 |
350 |
340 |
330 |
320 |
310 |
300 |
310 |
290 |
x1 |
15 |
10 |
20 |
20 |
18 |
18 |
15 |
14 |
15 |
10 |
|
x2 |
10 |
11 |
13 |
12 |
14 |
11 |
12 |
9 |
10 |
11 |
|
29 |
Y |
50 |
45 |
55 |
50 |
60 |
70 |
52 |
47 |
55 |
50 |
x1 |
10 |
12 |
9 |
10 |
8 |
16 |
10 |
12 |
9 |
10 |
|
x2 |
60 |
62 |
65 |
60 |
55 |
50 |
70 |
62 |
62 |
50 |
|
30 |
Y |
100 |
120 |
130 |
125 |
140 |
150 |
155 |
160 |
100 |
120 |
x1 |
30 |
35 |
40 |
30 |
45 |
30 |
55 |
60 |
30 |
35 |
|
x2 |
90 |
75 |
85 |
90 |
105 |
93 |
97 |
100 |
80 |
75 |
Дані необхідно вибрати з таблиці відповідно до номера варіанта.
Номер варіант визначається за вказівкою викладача.