问题描述:
计量EVIews模型
论文里面数据模型,帮我分析下这个表格的各个值是什么意思,接下来我该怎么分析
F-statistic怎么这么大,
模型公式为logXM=αLogFDI+β
Variable\x05Coefficient\x05Std.Error\x05t-Statistic\x05Prob. \x05\x05\x05
C\x05-7.963885\x051.305490\x05-6.100303\x050.0003
LOG(FDI)\x052.449655\x050.212053\x0511.55207\x050.0000\x05\x05
R-squared\x050.943443\x05 Mean dependent var\x057.106489
Adjusted R-squared\x050.936373\x05 S.D.dependent var\x050.617497
S.E.of regression\x050.155759\x05 Akaike info criterion\x05-0.704153
Sum squared resid\x050.194088\x05 Schwarz criterion\x05-0.643636
Log likelihood\x055.520766\x05 Hannan-Quinn criter.\x05-0.770540
F-statistic\x05133.4503\x05 Durbin-Watson stat\x051.017362
Prob(F-statistic)\x050.000003
论文里面数据模型,帮我分析下这个表格的各个值是什么意思,接下来我该怎么分析
F-statistic怎么这么大,
模型公式为logXM=αLogFDI+β
Variable\x05Coefficient\x05Std.Error\x05t-Statistic\x05Prob. \x05\x05\x05
C\x05-7.963885\x051.305490\x05-6.100303\x050.0003
LOG(FDI)\x052.449655\x050.212053\x0511.55207\x050.0000\x05\x05
R-squared\x050.943443\x05 Mean dependent var\x057.106489
Adjusted R-squared\x050.936373\x05 S.D.dependent var\x050.617497
S.E.of regression\x050.155759\x05 Akaike info criterion\x05-0.704153
Sum squared resid\x050.194088\x05 Schwarz criterion\x05-0.643636
Log likelihood\x055.520766\x05 Hannan-Quinn criter.\x05-0.770540
F-statistic\x05133.4503\x05 Durbin-Watson stat\x051.017362
Prob(F-statistic)\x050.000003
问题解答:
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