这是我们的数据(红字是笔误,懒得改成黑色了):
0.89511 | 0.743583336 | 0.549744761 | 0.17897 | 0.3159 | 0.121 | 0.3557 |
0.95124 | 0.763038589 | 0.593176977 | 0.19738 | 0.3346 | 0.1607 | 0.363 |
1.03741 | 0.808969645 | 0.593176977 | 0.24075 | 0.3632 | 0.1591 | 0.365 |
1.12928 | 0.826461524 | 0.587227359 | 0.26016 | 0.3869 | 0.1261 | 0.388 |
1.1817 | 0.854305739 | 0.587227359 | 0.288 | 0.4106 | 0.1291 | 0.406 |
1.2041 | 0.859898381 | 0.573543236 | 0.30861 | 0.4411 | 0.1482 | 0.409 |
1.2265495 | 0.870429205 | 0.573543236 | 0.34818 | 0.4925 | 0.1631 | 0.425 |
1.28629177 | 0.874355954 | 0.57473316 | 0.38569 | 0.5463 | 0.1499 | 0.441 |
1.359 | 0.888040077 | 0.572353312 | 0.42723 | 0.6111 | 0.1579 | 0.456 |
用eviews做线性拟合或者A(x1^b)(x2^c)(x3^d)(x4^e)(x5^f)(x6^t)+u拟合
结果中r-squared和adjusted r-squared值都能达到0.99以上,就是参数prob值非常差,不知道这是什么原因啊?需要对数据的数量级进行调整么?
[此贴子已经被作者于2008-8-28 23:57:37编辑过]