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Date:12/20/13Time:23:31Sample:20082022Included observations:15Variable Coefficient Std.Error t-Prob.Sum squared resid
9.78E+08Schwarz criterion
21.37218Log likelihood-
156.2293F-statistic
1050.184Durbin-Watson stat
1.747384ProbF-statistic
0.000000Statisticc
6603.
2149741.
5430.
6778410.
51070.XMXGDP
0.
7713290.
01723544.
75442、RATE-
6128.
7393564.225-
1.
7195150.1112R-squared
0.994319Mean dependent var
170768.4Adjusted R-squared
0.993372S.D.dependent var
110876.7S.E.of regression
9026.505Akaike infocriterion
21.23057Dependent Variable:SAVMethod:Least SquaresDate:12/20/13Time:23:32Sample:20082022Included observations:15Variable CoefficientStd.Error-Statistic Prob.
242936.
3107847.
72.
2525880.0438GDP
0.
7965980.
02088038.
151130.0000RPI-
2564.
5421100.437-
2.
3304750.0380R-squared
0.995126Mean dependentvar
170768.4S.D.Adjusted R-squared
0.994313var
110876.7dependentS.E.of regression
8361.331Akaike infocriterion
21.07748Sum squaredresid
8.39E+08Schwarz criterion
21.21909Log likelihocxi-
155.0811F-statistic
1224.915Variable CoeiTicientStd.Error-Prob.c
232683.
9102286.
32.
2748290.1507GDP
1.
1990260.
0628660.
002719.07276RPI-
5047.
3951215.034-
4.
154190.0534CPI
482.
3407214.
20032.
2518210.1532R-squared
0.998671Mean dependentvar
73608.74Adjusted R-squarcd
0.996677S.D.dependentvar
18800.40S.E.of regression
1083.697Akaike infocriterion
17.04887Sum squaredresid
2348800.Schwarz
16.91XLog likelihood-
47.1466F-statistic
500.9440Durbin-Watson stat
2.051381Prob F-
0.001993得到rss1=2348800对2007-2012的检验Dependent Variable:SAVMethod:Least SquaresDate:12/22/13Time:10:32Sample:20082022Included observations:6c
350865.
7202541.
91.
7323120.2254GDP
0.
8316600.
0936658.
8791250.0124-
3754.
1561750.414RPI-
2.
1447250.1652CPI-
5.
57400540.83244-
0.
1365090.9039R-squared
0.995199Mean dependentvar
282946.
80.987998S.D.var
83198.24Adjusted R-squared S.
9114.718Akaike infocriterion
21.30789E.of regressionSum
1.66E+08Schwarz criterion
21.16906squaredresidLog-
59.92367F-statistic
138.1976likelihood
2.717223Prob F-statistic
0.007193Durbin-Watson statVariable CoefficientStd.Error t-Prob.得到rss2=L66e+08所以F=RSS2/RSSKF⑵2=19所以认为模型不具有异方差性6自相关检验Dependent Variable:SAVMethod:Least SquaresDate:12/21/13Time:00:15Sample:20082022Included observations:15Std.ProbVariab CoefficieStatistErrorlentic
①SAV对GDP的一元回归Dependent Variable:SAVMethod:Least SquaresDate:12/20/13Time:23:22Sample:20082022Included observations:15VariableCoefficientStd.Error t-Statistic Prob.-
8207.
9304880.639-
1.
6817330.1165。
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