如何解释这些数据，看不懂！比如解释斜率、结论、x与y的关系、为什么

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Dependent Variable: X			[size=10.0000pt]		[size=10.0000pt]
Method: Least Squares			[size=10.0000pt]		[size=10.0000pt]
Date: 12/14/17   Time: 16:43			[size=10.0000pt]		[size=10.0000pt]
Sample: 2016M01 2017M09			[size=10.0000pt]		[size=10.0000pt]
Included observations: 21			[size=10.0000pt]		[size=10.0000pt]
Variable	Coefficient	Std. Error	t-Statistic		Prob.
Y	7.394935	1.321922	5.594080		0.0000
C	4117.208	315.5029	13.04967		0.0000
R-squared	0.622219	Mean dependent var			5881.429
Adjusted R-squared	0.602336	S.D. dependent var			65.86241
S.E. of regression	41.53323	Akaike info criterion			10.38126
Sum squared resid	32775.17	Schwarz criterion			10.48074
Log likelihood	-107.0032	F-statistic			31.29373
Durbin-Watson stat	0.199089	Prob(F-statistic)			0.000021

Dependent Variable: X			[size=10.0000pt]	[size=10.0000pt]
Method: Least Squares			[size=10.0000pt]	[size=10.0000pt]
Date: 12/14/17   Time: 16:56			[size=10.0000pt]	[size=10.0000pt]
Sample: 2003 2016			[size=10.0000pt]	[size=10.0000pt]
Included observations: 14			[size=10.0000pt]	[size=10.0000pt]
Variable	Coefficient	Std. Error	t-Statistic	Prob.
Y	-982.8026	837.5215	-1.173465	0.2634
C	47239.30	14748.84	3.202916	0.0076
R-squared	0.102939	Mean dependent var		30548.50
Adjusted R-squared	0.028184	S.D. dependent var		14807.48
S.E. of regression	14597.32	Akaike info criterion		22.14663
Sum squared resid	2.56E+09	Schwarz criterion		22.23792
Log likelihood	-153.0264	F-statistic		1.377021
Durbin-Watson stat	0.158864	Prob(F-statistic)		0.263375

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关键词：看不懂 coefficients observations observation coefficient

不会就算了

15778082148 发表于 2017-12-14 17:45

这是软件输出结果，按各项名字。。。写出回归分析式子。。然后各个统计量，解释呗

随便翻一本初级计量书都会有的。。。