我给计量经济课写论文，用了我实习的公司的数据。
数据包括，产品分类（颜色和材料）product (I dummy them)，折扣方式sales (Special sale, friends&family, regular website sales, no sale)，日期(month)，售出量qty，单价price。
然后我就
ls qty c price @expand(sales, @droplast)
Dependent Variable: QTY | | |
Method: Least Squares | | |
Date: 11/16/09
Time: 17:03 | | |
Sample: 1 1759 | | | |
Included observations: 1759 | | |
| | | | |
| | | | |
Variable | Coefficient | Std. Error | t-Statistic | Prob. |
| | | | |
| | | | |
C | 20.36327 | 1.535365 | 13.26282 | 0.0000 |
PRICE | -0.517092 | 0.044562 | -11.60386 | 0.0000 |
SALES=FRD&FML | 4.199580 | 0.527503 | 7.961251 | 0.0000 |
SALES=REG | 16.90276 | 1.602402 | 10.54839 | 0.0000 |
SALES=REG_SALE | 9.241078 | 0.967490 | 9.551597 | 0.0000 |
| | | | |
| | | | |
R-squared | 0.103090 | Mean dependent var | 2.001706 |
Adjusted R-squared | 0.101045 | S.D. dependent var | 3.727263 |
S.E. of regression | 3.533939 | Akaike info criterion | 5.365542 |
Sum squared resid | 21905.22 | Schwarz criterion | 5.381097 |
Log likelihood | -4713.994 | Hannan-Quinn criter. | 5.371291 |
F-statistic | 50.40095 | Durbin-Watson stat | 1.345502 |
Prob(F-statistic) | 0.000000 | | | |
| | | | |
| | | | |
这也太恶心了！基本上不成立啊！
我也试过了别的东西但是基本上那个product根本没意义。价格和特价是最重要的。
问题是怎么样才能让这model好看点？Lag?LOG?。。
HELP!!!
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