假设我们有以下时间序列数据
29.3309
30.2682
30.4943
32.0686
30.8724
30.5774
32.0206
30.7111
31.0084
29.6584
29.5011
25.7537
27.7440
27.9739
25.8936
24.4008
21.7980
20.6897
19.1583
17.3618
14.7442
13.5015
11.9400
9.8891
9.4676
9.4482
3.8952
3.6967
0.5281
1.7381
0.3837
-4.0675
-1.7480
-5.9624
-5.7286
-5.8186
-7.6106
-6.1751
-6.2990
-9.3583
-11.7100
-10.3334
-10.8402
-10.6385
-10.7420
-9.1370
-6.5726
-8.7257
-7.4920
-5.1228
-4.0366
-3.6131
-1.8185
-0.6247
-0.4421
1.8802
2.7303
3.7635
6.9769
8.1220
9.6017
11.8249
14.2632
15.3967
16.9005
18.6497
20.0351
20.7616
23.8019
25.8188
25.1758
28.8326
27.8088
28.6979
28.8685
29.6585
30.0359
31.7280
33.1982
32.1932
32.4184
32.6358
28.3539
30.0743
29.8125
29.2249
26.0836
25.0992
25.4522
22.9465
21.8685
18.4648
15.7670
16.0112
14.1754
12.2392
6.6034
4.2418
1.4742
0.2142
-3.1007
-3.9481
-9.5171
-12.6135
-13.4707
-15.2702
-20.0216
-23.1951
-24.7312
-28.7995
-29.6426
-31.2319
-34.1344
-38.4331
-39.1016
-40.7666
-40.4001
-42.8884
-45.2824
-45.1633
-48.5838
-48.7672
-47.6955
-48.1003
-49.1702
-49.5092
-50.4867
-48.8578
-49.9362
-47.8445
-47.2572
-45.3334
-45.6512
-43.1671
-41.4205
-41.3630
-38.4086
-34.9266
-34.2397
-32.3689
-29.2033
-27.4381
-24.1388
-22.0642
-19.2371
-16.0023
-12.3137
-10.4192
-6.4136
-7.2906
-2.9345
0.4919
2.1128
4.3027
8.7526
11.2198
13.2715
15.6453
16.5303
18.9278
21.2087
22.3752
24.9934
28.4702
26.9062
29.1551
28.4251
31.5814
29.8843
31.5027
30.9456
32.1777
31.6125
31.3301
33.9380
29.8208
29.7193
31.6247
26.8384
27.4578
24.6334
25.4405
23.3426
22.1882
19.7050
18.6151
18.1784
12.7287
11.6422
11.9486
9.1341
7.7582
4.8453
3.7585
2.6252
0.7255
-0.9268
-1.9173
-3.7872
-2.7567
-6.2378
-4.4713
-7.5859
-9.4616
-9.2979
-8.2807
-8.5583
-9.7136
-9.7047
-9.3355
-11.2619
-10.0783
-10.8818
-8.9198
-6.8085
-6.2001
-3.6676
-4.7110
-5.8481
-0.7156
0.2561
-0.1471
2.1931
4.3478
5.6033
7.6062
8.5181
10.3309
12.2028
13.0641
16.9976
17.2718
19.6005
19.6537
20.9625
23.3989
24.6015
27.3152
27.8842
28.8586
27.7866
29.0426
30.8489
30.7867
32.7577
32.9821
31.0697
32.3681
32.5615
30.9896
31.6234
30.2234
28.3671
27.8555
25.8358
23.7308
22.8552
20.7371
18.4005
18.4685
14.7278
14.9322
9.4973
7.8565
6.2920
4.7861
-0.3495
-4.1978
-5.3902
-10.3179
-12.0811
-14.3358
-15.8962
-18.6908
-22.8483
-24.5269
-28.3266
-29.8103
-30.9216
-34.9332
-37.5198
-39.7143
-40.3483
-41.4244
-42.1706
-45.6068
-46.6855
-48.4860
-47.0581
-49.3701
-50.1972
-47.7716
-49.1791
-49.1069
-50.4652
-48.4658
-47.6265
-48.2963
-46.3025
-45.1753
-42.7638
-42.6549
-38.7586
-36.1148
-36.1177
-33.6096
-30.7650
-27.6345
-25.7894
-23.3080
-21.5145
-18.5360
-14.9235
-11.0595
-9.3662
-8.3331
-3.9003
-1.6590
0.9153
3.6131
5.5600
8.6487
10.6256
13.3855
16.0977
18.2645
19.8551
21.7615
23.6464
25.6185
27.8325
28.4000
28.5570
30.3372
30.2192
29.2385
29.0556
29.9030
31.4253
30.9237
30.5428
30.8669
29.5796
28.8760
29.2467
28.4206
28.9554
25.5901
24.0133
21.9568
20.8310
19.4016
16.0645
15.8848
15.1795
12.1249
11.4456
10.2005
8.5579
6.5551
1.8533
1.9323
1.8410
-0.1530
-1.9503
-2.8366
-3.3640
-5.4549
-7.3687
-7.6718
-8.4553
-7.9762
-8.9513
-9.1689
-9.7811
-10.3623
-9.8678
-9.4997
-10.7617
-8.6940
-7.3200
-7.6018
-5.0377
-5.0482
-4.9144
-3.4275
-2.2304
-0.3066
1.6942
2.2047
4.5716
7.5336
8.4123
10.0343
10.1365
12.1615
14.6725
16.0415
16.1952
17.9377
22.0524
21.7728
26.0333
23.0657
26.9675
27.6389
27.8808
29.9108
29.4447
31.6860
31.3299
29.9039
29.2377
31.3328
32.5487
31.2004
30.5190
30.4270
27.4502
29.2053
25.6570
25.1980
23.2492
22.0637
18.1263
19.6141
16.5262
15.7604
12.8267
8.9810
5.5007
2.0934
1.1763
-1.3477
-3.2875
-8.0780
-9.1397
-12.6709
-16.3106
-17.5304
-20.7660
-23.9402
-24.4341
-28.2285
-31.3819
-33.3235
-35.7269
-37.7261
-39.3940
-42.2515
-44.0887
-44.4097
-44.1916
-47.5109
-49.1594
-49.1383
-49.9436
-50.1506
-49.5134
-50.0858
-50.3183
-49.7384
-49.9926
-48.7128
-48.2615
-46.1768
-45.3814
-43.4688
-41.3665
-40.4147
-37.2386
-34.7495
-33.8001
-29.3575
-29.5914
-25.8426
-24.3054
-20.4726
-18.7097
-15.1825
-12.5479
-10.1830
-8.2585
-2.8425
1.3471
4.2802
4.2172
7.2462
9.3277
12.2778
13.5878
14.7780
18.7287
19.4757
20.5943
26.5199
25.4081
27.3826
29.3455
27.4762
30.4131
我想用这个程序测试它的平稳性
http://www.spiderfinancial.com/support/documentation/numxl/users-guide/statistical-testing/stationary-test 但是当我做完所有事情，或者我按照该网站的说明进行操作时，我得到了以下结果
Stationary Test
Test Stat P-Value C.V. Stationary? 5.0%
ADF
No Const #NAME? #NAME? #NAME? #NAME?
Const-Only #NAME? #NAME? #NAME? #NAME?
Const + Trend #NAME? #NAME? #NAME? #NAME?
Const+Trend+Trend^2 #NAME? #NAME? #NAME?
对这种糟糕的格式感到抱歉，但很简单，它无处不在#NAME？有什么问题？请帮助我