模型：LnY = LnY = a + bLnX1 + cLnX2 + dLnX3 + ut
请问如何进行回归分析，并通过各类检验，使得模型能具备统计意义，谢谢啦！
数据如下：
| | y | x1 | X2 | X3 |
| 1993 |
1,925.91 |
1,247.76 |
20.01 |
527.27 |
| 1994 |
2,689.28 |
1,627.87 |
5.43 |
813.54 |
| 1995 |
3,557.55 |
2,103.65 |
4.44 |
1,095.56 |
| 1996 |
4,188.53 |
2,584.09 |
20.76 |
1,186.41 |
| 1997 |
4,686.11 |
3,273.73 |
43.56 |
1,144.34 |
| 1998 |
5,052.62 |
3,897.12 |
29.10 |
1,043.20 |
| 1999 |
5,443.92 |
4,650.50 |
33.32 |
1,040.85 |
| 2000 |
6,141.03 |
5,423.52 |
76.00 |
1,102.69 |
| 2001 |
6,898.34 |
6,482.22 |
43.07 |
1,284.61 |
| 2002 |
8,003.67 |
8,612.81 |
26.82 |
1,457.52 |
| 2003 |
9,705.02 |
12,014.28 |
52.02 |
1,426.78 |
| 2004 |
11,648.70 |
14,350.75 |
76.05 |
1,608.49 |
| 2005 |
13,437.85 |
16,557.67 |
27.86 |
1,934.34 |
| 2006 |
15,742.51 |
20,153.94 |
69.50 |
2,063.88 |
| 2007 |
18,638.00 |
24,939.89 |
485.54 |
1,635.47 |
| 2008 |
21,486.92 |
29,658.67 |
541.27 |
1,700.62 |
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