【正文】 Date: 12/27/14 Time: 21:00Sample: 1 22Included observations: 22 Variable Coefficient Std. Error tStatistic Prob. C X1 Rsquared Mean dependent var Adjusted Rsquared . dependent var . of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood HannanQuinn criter. Fstatistic DurbinWatson stat Prob(Fstatistic) 有上可知，關(guān)系式為y=+②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: 22 Variable Coefficient Std. Error tStatistic Prob. C X2 Rsquared Mean dependent var Adjusted Rsquared . dependent var . of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood HannanQuinn criter. Fstatistic DurbinWatson stat Prob(Fstatistic) 由上可知，關(guān)系式為y=+③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 observations: 22 Variable Coefficient Std. Error tStatistic Prob. C X3 Rsquared Mean dependent var Adjusted Rsquared . dependent var . of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood HannanQuinn criter. Fstatistic DurbinWatson stat Prob(Fstatistic) 由上可知，關(guān)系式為y=+（2）①關(guān)于人均壽命與人均GDP 模型，由上可知，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 （β1）=(20)=，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。對(duì)于回歸系數(shù)的t 檢驗(yàn)：t （β2）=(20)=，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。對(duì)于回歸系數(shù)的t 檢驗(yàn)：t （β3）=(20)=，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)人均壽命有顯著影響。2）對(duì)于回歸系數(shù)的t 檢驗(yàn)：t （β2）=(31)=，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。（2）當(dāng)x=32000時(shí)，①進(jìn)行點(diǎn)預(yù)測(cè)，由上可知Y=—，代入可得：Y= Y=*32000—=②進(jìn)行區(qū)間預(yù)測(cè)：∑x2=∑（X i —X ）2=δ2x (n—1)= x (33—1)=(Xf —X) 2=(32000— )2=當(dāng)Xf=32000時(shí)，將相關(guān)數(shù)據(jù)代入計(jì)算得到：—√1/33+≤Yf≤+√1/33+即Yf 的置信區(qū)間為（—, +）(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Eviews 分析結(jié)果如下： Dependent Variable: LNYMethod: Least SquaresDate: 12/03/14 Time: 18:00Sample (adjusted): 1 33Included observations: 33 after adjustmentsVariable Coefficient Std. Error tStatistic Prob.LNX C Rsquared Mean dependent var Adjusted Rsquared . dependent var . of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood HannanQuinn criter. Fstatistic DurbinWatson stat Prob(Fstatistic) ①模型方程為：lnY=②由上可知，模型的參數(shù)：，③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），說(shuō)明所建模型整體上對(duì)樣本數(shù)據(jù)擬合較好。④經(jīng)濟(jì)意義：全省生產(chǎn)總值每增長(zhǎng)1%，%（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: YMethod: Least SquaresDate: 12/01/14 Time: 12:40Sample: 1 12Included observations: 12 Variable Coefficient Std. Error tStatistic Prob. X C Rsquared Mean dependent var Adjusted Rsquared . dependent var . of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood HannanQuinn criter. Fstatistic DurbinWatson stat Prob(Fstatistic) 由上可得：建筑面積與建造成本的回歸方程為：Y=（2）經(jīng)濟(jì)意義：建筑面積每增加1萬(wàn)平方米。3）t 檢驗(yàn)，t ，均大于 t （27）=，所以這些系數(shù)都是顯著的。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。（3）用EViews 分析得：Dependent Variable: YMethod: Least SquaresDate: 12/08/14 Time: 17:28Sample: 1 31Included observations: 31 Variable Coefficient Std. Error tStatistic Prob. X2 LNX3 LNX4 C Rsquared Mean dependent var Adjusted Rsquared . dependent var . of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood HannanQuinn criter. Fstatistic DurbinWatson stat Prob(Fstatistic) 模型方程為：Y= LNX4+，擬合程度得到了提高，可這樣改進(jìn)。（2）對(duì)于對(duì)數(shù)模型，用Eviews 分析結(jié)果如下：Dependent Variable: LNYMethod: Least SquaresDate: 12/01/14 Time: 20:25Sample: 1994 2011Included observations: 18 Variable Coefficient Std. Error tStatistic Prob. LNX2 LNX3 C Rsquared Mean dependent var Adjusted Rsquared . dependent var . of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood HannanQuinn criter. Fstatistic DurbinWatson stat Prob(Fstatistic) ①由上可知，模型為：LNY=+ LNX2+ LNX3②對(duì)模型進(jìn)行檢驗(yàn)：1），說(shuō)明模型對(duì)樣本擬合較好。3）t 檢驗(yàn)，t ，均大于t （15）=，所以這些系數(shù)都是顯著的。②（2）式中的經(jīng)濟(jì)意義：工業(yè)增加額每增加1%，%，人民幣匯率每增加1%，%（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: 18 Variable Coefficient Std. Error tStatistic Prob. X T C Rsquared Mean dependent var Adjusted Rsquared . dependent var . of regression Akaike info criterion Sum squared resid Schwarz criterionLog likelihood HannanQuinn criter.Fstatistic DurbinWatson statProb(Fstatistic) ①模型為：Y = + ②對(duì)模型進(jìn)行檢驗(yàn)：1），說(shuō)明模型對(duì)樣本擬合較好。3）t 檢驗(yàn)，t ，均大于t （15）=，所以這些系數(shù)都是顯著的。（2）用Eviews 分析：①Dependent Variable: YMethod: Least SquaresDate: 12/01/14 Time: 22:30Sample: 1 18Included observations: 18 Variable Coefficient Std. Error tStatistic Prob. T C Rsquared Mean dependent var Adjusted Rsquared . dependent var . of regression Akaike info criterion Sum squared resid Schwarz criterion Log likelihood HannanQuinn criter. Fstatistic DurbinWatson stat Prob(Fstatistic) ②Dependent Variable: XMethod: Least SquaresDate: 12/01/14 Time: 22:34Sample: 1 18Included observations: 18 Variable Coefficient Std. Error tStatistic Prob.T C Rsquared Mean dependent var Adjusted Rsquared . dependent var . of regression Akaike info criterion Sum squared resid 4290746. Schwarz criterion Log likelihood HannanQuinn criter. Fstatistic DurbinWatson stat Prob(Fstatistic) 以上分別是y 與T ，X