SUMMARY OUTPUT
回归统计
Multiple R0.051906
R Square0.002694
Adjusted R -0.00516
标准误差0.042369
观测值129
方差分析
df SS MS F Significance F
回归分析10.0006160.0006160.3430980.559086
残差1270.2279820.001795
总计1280.228598
Coefficients标准误差t Stat P-value Lower 95%Upper 95%下限 95.0%上限 95.0% Intercept0.0980380.00376226.058058.4E-530.0905930.1054830.0905930.105483 X Variable -0.000650.001116-0.585750.559086-0.002860.001555-0.002860.001555 RESIDUAL OUTPUT
观测值预测 Y残差标准残差
10.0948220.0751781.781331
20.0951360.0748641.773896
30.0949270.0750731.778852
40.0946460.0753541.785513
50.0949790.0750211.777613
60.0950570.0749431.775754
70.0951820.0698181.654337
80.0956590.0693411.643029
90.0951820.0698181.654337
100.0977120.0622881.475918
110.0975870.0574131.360386
120.0991890.0558111.322436
130.1008690.0541311.282628
140.1014120.0535881.269772
150.1018430.0531571.259549
160.103020.05198 1.231667
170.1034120.0515881.222373
180.1035620.0514381.218811
190.1040660.0509341.206884
200.1037710.0512291.213854
210.1042360.0507641.202856
220.1017650.0532351.261407
230.1012940.0587061.391034
240.1007910.069209 1.63991 250.0995750.0704251.668721 260.0990260.0759741.800207 270.0990190.0759811.800361 280.0976070.0773931.833819 290.0963450.0786551.863714 300.0953190.0696811.651084 310.0945480.0654521.550887 320.0948740.0601261.424668 330.0942210.0557791.321683 340.0949070.0550931.305419 350.0956850.0493151.168512 360.0948290.0401710.951855 370.094750.035250.835239 380.0950120.0299880.710569 390.0946850.0253150.599839 400.0950640.0199360.472381 410.0961690.0188310.446203 420.0967510.0132490.313943 430.0968750.0081250.192526 440.0964170.0035830.084894 450.0968750.0031250.074051 460.097849-0.00285-0.0675 470.097267-0.00727-0.17219 480.097653-0.00765-0.18133 490.097908-0.01291-0.30585 500.097653-0.01265-0.2998 510.098555-0.01855-0.43965 520.098104-0.0181-0.42897 530.098293-0.01829-0.43346 540.098424-0.01842-0.43656 550.099248-0.01925-0.45607 560.099928-0.01993-0.47218 570.098038-0.01804-0.42742 580.098548-0.01855-0.4395 590.098993-0.01899-0.45003 600.09998-0.01998-0.47342 610.100712-0.02071-0.49077 620.100523-0.02052-0.48628 630.100209-0.02021-0.47884 640.100156-0.02016-0.4776 650.099666-0.01967-0.46599 660.0993-0.0193-0.45731 670.098228-0.01823-0.43191 680.096888-0.01689-0.40016 690.098862-0.01886-0.44693 700.098548-0.01855-0.4395
720.09643-0.01643-0.38931 730.095384-0.01538-0.36453 740.095188-0.01519-0.35988 750.094914-0.01491-0.35338 760.094972-0.01497-0.35477 770.095639-0.01564-0.37057 780.096228-0.02623-0.62146 790.096679-0.02668-0.63215 800.096796-0.0268-0.63494 810.096215-0.02621-0.62115 820.095679-0.02568-0.60845 830.0956-0.0256-0.60659 840.096326-0.02633-0.62378 850.096855-0.03686-0.87328 860.096986-0.03699-0.87638 870.097117-0.03712-0.87948 880.097313-0.03731-0.88412 890.096849-0.03685-0.87312 900.096515-0.03652-0.86522 910.096921-0.03692-0.87483 920.097908-0.03791-0.89822 930.097117-0.03712-0.87948 940.098104-0.0381-0.90286 950.0983-0.0383-0.90751 960.098692-0.03869-0.91681 970.098431-0.03843-0.91061 980.099137-0.03914-0.92734 990.099581-0.03958-0.93787 1000.099457-0.03946-0.93493 1010.099836-0.03984-0.94391 1020.099901-0.0399-0.94546 1030.099078-0.03908-0.92594 1040.098038-0.03804-0.90132 1050.099457-0.03946-0.93493 1060.099195-0.0392-0.92873 1070.099071-0.03907-0.92579 1080.097908-0.03791-0.89822 1090.098104-0.0381-0.90286 1100.097581-0.03758-0.89047 1110.097385-0.03738-0.88583 1120.09745-0.03745-0.88737 1130.096992-0.03699-0.87653 1140.09679-0.03679-0.87173 1150.097385-0.03738-0.88583 1160.098496-0.0385-0.91216 1170.097123-0.03712-0.87963
1190.096587-0.03659-0.86693 1200.097646-0.03765-0.89202 1210.097509-0.03751-0.88877 1220.096979-0.03698-0.87622 1230.096777-0.03678-0.87142 1240.0963-0.0363-0.86011 1250.096502-0.0365-0.86491 1260.09677-0.03677-0.87127 1270.096973-0.03697-0.87607 1280.096711-0.03671-0.86987 1290.097378-0.03738-0.88567
.0%