計(jì)量經(jīng)濟(jì)學(xué)-龐皓-第三版課后答案(共93頁(yè))

1、精選優(yōu)質(zhì)文檔-傾情為你奉上 第二章 簡(jiǎn)單線(xiàn)性回歸模型2.1（1） 首先分析人均壽命與人均GDP的數(shù)量關(guān)系，用Eviews分析：Dependent Variable: YMethod: Least SquaresDate: 12/27/14 Time: 21:00Sample: 1 22Included observations: 22VariableCoefficientStd. Errort-StatisticProb.  C56.647941.28.889920.0000X.0001R-squared0.    M

2、ean dependent var62.50000Adjusted R-squared0.    S.D. dependent var10.08889S.E. of regression7.    Akaike info criterion6.Sum squared resid1013.000    Schwarz criterion6.Log likelihood-73.34257    Hannan-Quinn criter.6.F

3、-statistic22.20138    Durbin-Watson stat0.Prob(F-statistic)0.有上可知，關(guān)系式為y=56.64794+0.x1關(guān)于人均壽命與成人識(shí)字率的關(guān)系，用Eviews分析如下：Dependent Variable: YMethod: Least SquaresDate: 11/26/14 Time: 21:10Sample: 1 22Included observations: 22VariableCoefficientStd. Errort-StatisticProb.  C38.7

4、94243.10.983400.0000X.0000R-squared0.    Mean dependent var62.50000Adjusted R-squared0.    S.D. dependent var10.08889S.E. of regression5.    Akaike info criterion6.Sum squared resid605.2873    Schwarz criterion6.

5、Log likelihood-67.67792    Hannan-Quinn criter.6.F-statistic50.62761    Durbin-Watson stat1.Prob(F-statistic)0.由上可知，關(guān)系式為y=38.79424+0.x2關(guān)于人均壽命與一歲兒童疫苗接種率的關(guān)系，用Eviews分析如下：Dependent Variable: YMethod: Least SquaresDate: 11/26/14 Time: 21:14Sample: 1 22Included obse

6、rvations: 22VariableCoefficientStd. Errort-StatisticProb.  C31.7995001X.0001R-squared0.    Mean dependent var62.50000Adjusted R-squared0.    S.D. dependent var10.08889S.E. of regression7.    Akaike info criterion6.

7、Sum squared resid987.6770    Schwarz criterion6.Log likelihood-73.06409    Hannan-Quinn criter.6.F-statistic23.28338    Durbin-Watson stat0.Prob(F-statistic)0.由上可知，關(guān)系式為y=31.79956+0.x3（2）關(guān)于人均壽命與人均GDP模型，由上可知，可決系數(shù)為0.，說(shuō)明所建模型整體上對(duì)樣本數(shù)據(jù)擬合較好。 對(duì)于回歸系數(shù)

8、的t檢驗(yàn)：t（1）=4.>t0.025(20)=2.086，對(duì)斜率系數(shù)的顯著性檢驗(yàn)表明，人均GDP對(duì)人均壽命有顯著影響。關(guān)于人均壽命與成人識(shí)字率模型，由上可知，可決系數(shù)為0.，說(shuō)明所建模型整體上對(duì)樣本數(shù)據(jù)擬合較好。對(duì)于回歸系數(shù)的t檢驗(yàn)：t（2）=7.>t0.025(20)=2.086，對(duì)斜率系數(shù)的顯著性檢驗(yàn)表明，成人識(shí)字率對(duì)人均壽命有顯著影響。關(guān)于人均壽命與一歲兒童疫苗的模型，由上可知，可決系數(shù)為0.，說(shuō)明所建模型整體上對(duì)樣本數(shù)據(jù)擬合較好。 對(duì)于回歸系數(shù)的t檢驗(yàn)：t（3）=4.>t0.025(20)=2.086，對(duì)斜率系數(shù)的顯著性檢驗(yàn)表明，一歲兒童疫苗接種率對(duì)人均壽命有顯著影

9、響。2.2（1）對(duì)于浙江省預(yù)算收入與全省生產(chǎn)總值的模型，用Eviews分析結(jié)果如下：Dependent Variable: YMethod: Least SquaresDate: 12/03/14 Time: 17:00Sample (adjusted): 1 33Included observations: 33 after adjustmentsVariableCoefficientStd. Errort-StatisticProb.  X56390.0000C-154.306339.08196-3.0.0004R-squared0. 

10、0;  Mean dependent var902.5148Adjusted R-squared0.    S.D. dependent var1351.009S.E. of regression175.2325    Akaike info criterion13.22880Sum squared resid.7    Schwarz criterion13.31949Log likelihood-216.2751   &#

11、160;Hannan-Quinn criter.13.25931F-statistic1871.115    Durbin-Watson stat0.Prob(F-statistic)0.由上可知，模型的參數(shù)：斜率系數(shù)0.，截距為154.3063關(guān)于浙江省財(cái)政預(yù)算收入與全省生產(chǎn)總值的模型，檢驗(yàn)?zāi)Ｐ偷娘@著性：1）可決系數(shù)為0.，說(shuō)明所建模型整體上對(duì)樣本數(shù)據(jù)擬合較好。2）對(duì)于回歸系數(shù)的t檢驗(yàn)：t（2）=43.25639>t0.025(31)=2.0395，對(duì)斜率系數(shù)的顯著性檢驗(yàn)表明，全省生產(chǎn)總值對(duì)財(cái)政預(yù)算總收入有顯著影響。用規(guī)范形式寫(xiě)出檢驗(yàn)結(jié)果如下：Y

12、=0.X154.3063 (0.) (39.08196)t= (43.25639) （-3.）R2=0. F=1871.115 n=33經(jīng)濟(jì)意義是：全省生產(chǎn)總值每增加1億元，財(cái)政預(yù)算總收入增加0.億元。（2）當(dāng)x=32000時(shí)，進(jìn)行點(diǎn)預(yù)測(cè)，由上可知Y=0.X154.3063，代入可得：Y= Y=0.*32000154.3063=5481.6617進(jìn)行區(qū)間預(yù)測(cè)：先由Eviews分析：XY Mean 6000.441 902.5148 Median 2689.280 209.3900 Maximum 27722.31&

13、#160;4895.410 Minimum 123.7200 25.87000 Std. Dev. 7608.021 1351.009 Skewness 1. 1. Kurtosis 4. 4. Jarque-Bera 12.69068 18.69063 Probability 0. 0. Sum .5 29782.99 Sum Sq. Dev. 1.85E+09&#

14、160; Observations 33 33由上表可知，x2=（XiX）2=2x(n1)=  7608.0212 x (331)=.473(XfX)2=(32000 6000.441)2=.2當(dāng)Xf=32000時(shí)，將相關(guān)數(shù)據(jù)代入計(jì)算得到：5481.66172.0395x175.2325x1/33+.473/.2Yf5481.6617+2.0395x175.2325x1/33+.473/.2即Yf的置信區(qū)間為（5481.661764.9649, 5481.6617+64.9649）(3) 對(duì)于浙江省預(yù)算收入對(duì)數(shù)與全省生產(chǎn)總值對(duì)數(shù)的模型，由Evi

15、ews分析結(jié)果如下：Dependent Variable: LNYMethod: Least SquaresDate: 12/03/14 Time: 18:00Sample (adjusted): 1 33Included observations: 33 after adjustmentsVariableCoefficientStd. Errort-StatisticProb.  LNX82680.0000C-1.0.-7.0.0000R-squared0.    Mean dependent var5.Adjust

16、ed R-squared0.    S.D. dependent var1.S.E. of regression0.    Akaike info criterion0.Sum squared resid3.    Schwarz criterion0.Log likelihood-8.    Hannan-Quinn criter.0.F-statistic816.9699    Durbin-

17、Watson stat0.Prob(F-statistic)0.模型方程為：lnY=0.lnX-1.由上可知，模型的參數(shù)：斜率系數(shù)為0.，截距為-1.關(guān)于浙江省財(cái)政預(yù)算收入與全省生產(chǎn)總值的模型，檢驗(yàn)其顯著性：1）可決系數(shù)為0.，說(shuō)明所建模型整體上對(duì)樣本數(shù)據(jù)擬合較好。2）對(duì)于回歸系數(shù)的t檢驗(yàn)：t（2）=28.58268>t0.025(31)=2.0395，對(duì)斜率系數(shù)的顯著性檢驗(yàn)表明，全省生產(chǎn)總值對(duì)財(cái)政預(yù)算總收入有顯著影響。經(jīng)濟(jì)意義：全省生產(chǎn)總值每增長(zhǎng)1%，財(cái)政預(yù)算總收入增長(zhǎng)0.%2.4（1）對(duì)建筑面積與建造單位成本模型，用Eviews分析結(jié)果如下：Dependent Variable: Y

18、Method: Least SquaresDate: 12/01/14 Time: 12:40Sample: 1 12Included observations: 12VariableCoefficientStd. Errort-StatisticProb.  X-64.184004.-13.344340.0000C1845.47519.2644695.796880.0000R-squared0.    Mean dependent var1619.333Adjusted R-squared0.   &#

19、160;S.D. dependent var131.2252S.E. of regression31.73600    Akaike info criterion9.Sum squared resid10071.74    Schwarz criterion9.Log likelihood-57.42275    Hannan-Quinn criter.9.F-statistic178.0715    Durbin-Watson sta

20、t1.Prob(F-statistic)0.由上可得：建筑面積與建造成本的回歸方程為：Y=1845.475-64.18400X（2）經(jīng)濟(jì)意義：建筑面積每增加1萬(wàn)平方米，建筑單位成本每平方米減少64.18400元。（3）首先進(jìn)行點(diǎn)預(yù)測(cè)，由Y=1845.475-64.18400X得，當(dāng)x=4.5，y=1556.647再進(jìn)行區(qū)間估計(jì)：用Eviews分析：YX Mean 1619.333 3. Median 1630.000 3. Maximum 1860.000 6. Minimum 141

21、9.000 0. Std. Dev. 131.2252 1. Skewness 0.-0. Kurtosis 2. 1. Jarque-Bera 0. 0. Probability 0. 0. Sum 19432.00 42.28000 Sum Sq. Dev. .7 43.53567 Observations 12 12由上表可知，x2=（XiX）2=2x

22、(n1)=  1. x (121)=43.5357(XfX)2=(4.5 3.)2=0.當(dāng)Xf=4.5時(shí)，將相關(guān)數(shù)據(jù)代入計(jì)算得到：1556.6472.228x31.73600x1/12+43.5357/0.Yf1556.647+2.228x31.73600x1/12+43.5357/0.即Yf的置信區(qū)間為（1556.647478.1231, 1556.647+478.1231）3.1（1）對(duì)百戶(hù)擁有家用汽車(chē)量計(jì)量經(jīng)濟(jì)模型，用Eviews分析結(jié)果如下：Dependent Variable: YMethod: Least SquaresDate: 11/25/14 Time:

23、12:38Sample: 1 31Included observations: 31VariableCoefficientStd. Errort-StatisticProb.  X.0002X3-0.0.-2.0.0069X4-2.0.-4.0.0002C246.854051.975004.0.0001R-squared0.    Mean dependent var16.77355Adjusted R-squared0.    S.D. dependent var8.S.E.

24、of regression5.    Akaike info criterion6.Sum squared resid682.2795    Schwarz criterion6.Log likelihood-91.90460    Hannan-Quinn criter.6.F-statistic17.95108    Durbin-Watson stat1.Prob(F-statistic)0.得到模型得：Y=246.8540+5.

25、X2-0. X3-2. X4對(duì)模型進(jìn)行檢驗(yàn)：1） 可決系數(shù)是0.，修正的可決系數(shù)為0.，說(shuō)明模型對(duì)樣本擬合較好2） F檢驗(yàn)，F(xiàn)=17.95108>F（3,27）=3.65，回歸方程顯著。3）t檢驗(yàn)，t統(tǒng)計(jì)量分別為4.，4.，-2.，-4.，均大于t（27）=2.0518，所以這些系數(shù)都是顯著的。依據(jù)：1） 可決系數(shù)越大，說(shuō)明擬合程度越好2） F的值與臨界值比較，若大于臨界值，則否定原假設(shè)，回歸方程是顯著的；若小于臨界值，則接受原假設(shè)，回歸方程不顯著。3） t的值與臨界值比較，若大于臨界值，則否定原假設(shè)，系數(shù)都是顯著的；若小于臨界值，則接受原假設(shè)，系數(shù)不顯著。（2）經(jīng)濟(jì)意義：人均增加萬(wàn)元，

26、百戶(hù)擁有家用汽車(chē)增加5.輛，城鎮(zhèn)人口比重增加個(gè)百分點(diǎn)，百戶(hù)擁有家用汽車(chē)減少0.輛，交通工具消費(fèi)價(jià)格指數(shù)每上升，百戶(hù)擁有家用汽車(chē)減少2.輛。（3）用EViews分析得：Dependent Variable: YMethod: Least SquaresDate: 12/08/14 Time: 17:28Sample: 1 31Included observations: 31VariableCoefficientStd. Errort-StatisticProb.  X.0000LNX3-22.810056.-3.0.0023LNX4-230.848149.4

27、6791-4.0.0001C1148.758228.29175.0.0000R-squared0.    Mean dependent var16.77355Adjusted R-squared0.    S.D. dependent var8.S.E. of regression4.    Akaike info criterion6.Sum squared resid629.3818    Schwarz criterion6.Lo

28、g likelihood-90.65373    Hannan-Quinn criter.6.F-statistic20.21624    Durbin-Watson stat1.Prob(F-statistic)0.模型方程為：Y=5. X2-22.81005 LNX3-230.8481 LNX4+1148.758此分析得出的可決系數(shù)為0.>0.，擬合程度得到了提高，可這樣改進(jìn)。3.2（）對(duì)出口貨物總額計(jì)量經(jīng)濟(jì)模型，用Eviews分析結(jié)果如下：Dependent Variable: YMethod: Lea

29、st SquaresDate: 12/01/14 Time: 20:25Sample: 1994 2011Included observations: 18VariableCoefficientStd. Errort-StatisticProb.  X84540.0000X318.8534729C-18231.588638.216-2.0.0520R-squared0.    Mean dependent var6619.191Adjusted R-squared0.   

30、; S.D. dependent var5767.152S.E. of regression730.6306    Akaike info criterion16.17670Sum squared resid.    Schwarz criterion16.32510Log likelihood-142.5903    Hannan-Quinn criter.16.19717F-statistic522.0976    Dur

31、bin-Watson stat1.Prob(F-statistic)0.由上可知，模型為：Y = 0.X2 + 18.85348X3 - 18231.58對(duì)模型進(jìn)行檢驗(yàn)：1）可決系數(shù)是0.，修正的可決系數(shù)為0.，說(shuō)明模型對(duì)樣本擬合較好2）F檢驗(yàn)，F(xiàn)=522.0976>F（2,15）=4.77，回歸方程顯著3）t檢驗(yàn)，t統(tǒng)計(jì)量分別為X2的系數(shù)對(duì)應(yīng)t值為10.58454，大于t（15）=2.131，系數(shù)是顯著的，X3的系數(shù)對(duì)應(yīng)t值為1.，小于t（15）=2.131，說(shuō)明此系數(shù)是不顯著的。 （2）對(duì)于對(duì)數(shù)模型，用Eviews分析結(jié)果如下：Dependent Variable: LNYMetho

32、d: Least SquaresDate: 12/01/14 Time: 20:25Sample: 1994 2011Included observations: 18VariableCoefficientStd. Errort-StatisticProb.  LNX77890.0000LNX.0209C-20.520485.-3.0.0018R-squared0.    Mean dependent var8.Adjusted R-squared0.    S

33、.D. dependent var0.S.E. of regression0.    Akaike info criterion-1.Sum squared resid0.    Schwarz criterion-1.Log likelihood14.66782    Hannan-Quinn criter.-1.F-statistic539.7364    Durbin-Watson stat0.Prob(F-statistic)0

34、.由上可知，模型為：LNY=-20.52048+1. LNX2+1. LNX3對(duì)模型進(jìn)行檢驗(yàn)：1）可決系數(shù)是0.，修正的可決系數(shù)為0.，說(shuō)明模型對(duì)樣本擬合較好。2）F檢驗(yàn)，F(xiàn)=539.7364> F（2,15）=4.77，回歸方程顯著。3）t檢驗(yàn)，t統(tǒng)計(jì)量分別為-3.，17.57789，2.，均大于t（15）=2.131，所以這些系數(shù)都是顯著的。（3）（1）式中的經(jīng)濟(jì)意義：工業(yè)增加1億元，出口貨物總額增加0.億元，人民幣匯率增加1，出口貨物總額增加18.85348億元。（2）式中的經(jīng)濟(jì)意義：工業(yè)增加額每增加1%，出口貨物總額增加1.%，人民幣匯率每增加1%，出口貨物總額增加1.%3.3（

35、1）對(duì)家庭書(shū)刊消費(fèi)對(duì)家庭月平均收入和戶(hù)主受教育年數(shù)計(jì)量模型，由Eviews分析結(jié)果如下：Dependent Variable: YMethod: Least SquaresDate: 12/01/14 Time: 20:30Sample: 1 18Included observations: 18VariableCoefficientStd. Errort-StatisticProb.  X.0101T52.370315.10.067020.0000C-50.0163849.46026-1.0.3279R-squared0.   

36、 Mean dependent var755.1222Adjusted R-squared0.    S.D. dependent var258.7206S.E. of regression60.82273    Akaike info criterion11.20482Sum squared resid55491.07    Schwarz criterion11.35321Log likelihood-97.84334   

37、0;Hannan-Quinn criter.11.22528F-statistic146.2974    Durbin-Watson stat2.Prob(F-statistic)0.模型為：Y = 0.X + 52.37031T-50.01638對(duì)模型進(jìn)行檢驗(yàn)：1）可決系數(shù)是0.，修正的可決系數(shù)為0.，說(shuō)明模型對(duì)樣本擬合較好。2）F檢驗(yàn)，F(xiàn)=539.7364> F（2,15）=4.77，回歸方程顯著。3）t檢驗(yàn)，t統(tǒng)計(jì)量分別為2.，10.06702，均大于t（15）=2.131，所以這些系數(shù)都是顯著的。經(jīng)濟(jì)意義：家庭月平均收入增加1元，家庭書(shū)刊年

38、消費(fèi)支出增加0.元，戶(hù)主受教育年數(shù)增加1年，家庭書(shū)刊年消費(fèi)支出增加52.37031元。（2）用Eviews分析：Dependent Variable: YMethod: Least SquaresDate: 12/01/14 Time: 22:30Sample: 1 18Included observations: 18VariableCoefficientStd. Errort-StatisticProb.  T63.016764.13.854160.0000C-11.5817158.02290-0.0.8443R-squared0.   &

39、#160;Mean dependent var755.1222Adjusted R-squared0.    S.D. dependent var258.7206S.E. of regression73.97565    Akaike info criterion11.54979Sum squared resid87558.36    Schwarz criterion11.64872Log likelihood-101.9481    

40、;Hannan-Quinn criter.11.56343F-statistic191.9377    Durbin-Watson stat2.Prob(F-statistic)0.Dependent Variable: XMethod: Least SquaresDate: 12/01/14 Time: 22:34Sample: 1 18Included observations: 18VariableCoefficientStd. Errort-StatisticProb.  T123.151631.841503.0.0014C4

41、44.5888406.17861.0.2899R-squared0.    Mean dependent var1942.933Adjusted R-squared0.    S.D. dependent var698.8325S.E. of regression517.8529    Akaike info criterion15.44170Sum squared resid.    Schwarz criterion15.54063

42、Log likelihood-136.9753    Hannan-Quinn criter.15.45534F-statistic14.95867    Durbin-Watson stat1.Prob(F-statistic)0.以上分別是y與T，X與T的一元回歸模型分別是：Y = 63.01676T - 11.58171X = 123.1516T + 444.5888（3）對(duì)殘差進(jìn)行模型分析，用Eviews分析結(jié)果如下：Dependent Variable: E1Method: Least SquaresDa

43、te: 12/03/14 Time: 20:39Sample: 1 18Included observations: 18VariableCoefficientStd. Errort-StatisticProb.  E.0078C3.96E-1413.880832.85E-151.0000R-squared0.    Mean dependent var2.30E-14Adjusted R-squared0.    S.D. dependent var71.76693S.E. o

44、f regression58.89136    Akaike info criterion11.09370Sum squared resid55491.07    Schwarz criterion11.19264Log likelihood-97.84334    Hannan-Quinn criter.11.10735F-statistic9.    Durbin-Watson stat2.Prob(F-statistic)0.模型

45、為：E1 = 0.E2 + 3.96e-14參數(shù)：斜率系數(shù)為0.，截距為3.96e-14（3）由上可知，2與2的系數(shù)是一樣的?；貧w系數(shù)與被解釋變量的殘差系數(shù)是一樣的，它們的變化規(guī)律是一致的。3.6（1）預(yù)期的符號(hào)是X1，X2,X3,X4,X5的符號(hào)為正，X6的符號(hào)為負(fù)（2）根據(jù)Eviews分析得到數(shù)據(jù)如下：Dependent Variable: YMethod: Least SquaresDate: 12/04/14 Time: 13:24Sample: 1994 2011Included observations: 18VariableCoefficientStd. Errort-Stati

46、sticProb.  X.2336X.6326X4-3.3.-1.0.3346X.3600X.6422C-13.7773215.73366-0.0.3984R-squared0.    Mean dependent var12.76667Adjusted R-squared0.    S.D. dependent var9.S.E. of regression0.    Akaike info

47、 criterion2.Sum squared resid8.    Schwarz criterion3.Log likelihood-18.55865    Hannan-Quinn criter.2.F-statistic465.3617    Durbin-Watson stat1.Prob(F-statistic)0.與預(yù)期不相符。評(píng)價(jià)：1） 可決系數(shù)為0.，數(shù)據(jù)相當(dāng)大，可以認(rèn)為擬合程度很好。2） F檢驗(yàn)，F(xiàn)=465.3617>F（5.12）=3,89，回歸方

48、程顯著3） T檢驗(yàn)，X1，X2,X3,X4,X5，X6 系數(shù)對(duì)應(yīng)的t值分別為：1.，0.，-1.，0.，0.，均小于t（12）=2.179，所以所得系數(shù)都是不顯著的。（3）根據(jù)Eviews分析得到數(shù)據(jù)如下：Dependent Variable: YMethod: Least SquaresDate: 12/03/14 Time: 11:12Sample: 1994 2011Included observations: 18VariableCoefficientStd. Errort-StatisticProb.  X50.2.20E-0546.799460.0000X6-0

49、.0.-1.0.0983C.2266R-squared0.    Mean dependent var12.76667Adjusted R-squared0.    S.D. dependent var9.S.E. of regression0.    Akaike info criterion2.Sum squared resid10.33396    Schwarz criterion2.Log likelihood-

50、20.54646    Hannan-Quinn criter.2.F-statistic1164.567    Durbin-Watson stat1.Prob(F-statistic)0.得到模型的方程為：Y=0. X5-0. X6+4.評(píng)價(jià)：1） 可決系數(shù)為0.，數(shù)據(jù)相當(dāng)大，可以認(rèn)為擬合程度很好。2） F檢驗(yàn)，F(xiàn)=1164.567>F（5.12）=3,89，回歸方程顯著3） T檢驗(yàn)，X5 系數(shù)對(duì)應(yīng)的t值為46.79946，大于t（12）=2.179，所以系數(shù)是顯著的，即人均GDP對(duì)年底存款余額有顯著影響

51、。 X6 系數(shù)對(duì)應(yīng)的t值為-1.，小于t（12）=2.179，所以系數(shù)是不顯著的。4.3（1）根據(jù)Eviews分析得到數(shù)據(jù)如下：Dependent Variable: LNYMethod: Least SquaresDate: 12/05/14 Time: 11:39Sample: 1985 2011Included observations: 27VariableCoefficientStd. Errort-StatisticProb.  LNGDP05820.0000LNCPI-0.0.-1.0.0832C-3.0.-6.0.0000R-squared0

52、.    Mean dependent var9.Adjusted R-squared0.    S.D. dependent var1.S.E. of regression0.    Akaike info criterion-0.Sum squared resid0.    Schwarz criterion-0.Log likelihood12.39155    Hannan-Quinn c

53、riter.-0.F-statistic992.2582    Durbin-Watson stat0.Prob(F-statistic)0.得到的模型方程為：LNY=1. LNGDPt-0. LNCPIt-3.（2） 該模型的可決系數(shù)為0.，可決系數(shù)很高，F(xiàn)檢驗(yàn)值為992.2582，明顯顯著。但當(dāng)=0.05時(shí)，t（24）=2.064，LNCPI的系數(shù)不顯著，可能存在多重共線(xiàn)性。得到相關(guān)系數(shù)矩陣如下：LNYLNGDPLNCPILNY 1. 0. 0.LNGDP 0. 1. 0.LNCPI 0. 0. 1.LNGDP， LNCPI之間的相關(guān)系數(shù)很高，證實(shí)確實(shí)存在多重共線(xiàn)性。（3）由Eviews得：a）Dependent Variable: LNYMethod: Least SquaresDate: 12/03/14