【正文】 um squared residSchwarz criterionLog likelihoodHannanQuinn criter.FstatisticDurbinWatson statProb(Fstatistic)②由上可知，模型的參數(shù)：，截距為—③關于浙江省財政預算收入與全省生產(chǎn)總值的模型，檢驗模型的顯著性：1），說明所建模型整體上對樣本數(shù)據(jù)擬合較好。MeanStd. Dev.Probability58407195 x (33—1)=(Xf—X)2=(32000—2）對于回歸系數(shù)的t檢驗：t（β2）=(31)=，對斜率系數(shù)的顯著性檢驗表明，全省生產(chǎn)總值對財政預算總收入有顯著影響。（3）①首先進行點預測，由Y=，當x=，y=②再進行區(qū)間估計：用Eviews分析：YXMedianSkewnessProbability x (12—1)=(Xf—X)2=(—3）t檢驗，均大于t（27）=，所以這些系數(shù)都是顯著的。（3）用EViews分析得：Dependent Variable: YMethod: Least SquaresDate: 12/23/15 Time: 21:09Sample: 1 31Included observations: 31VariableCoefficientStd. ErrortStatisticProb.LNX2LNX3CRsquaredMean dependent varAdjusted Rsquared. dependent var. of regressionAkaike info criterionSum squared residSchwarz criterionLog likelihoodHannanQuinn criter.FstatisticDurbinWatson statProb(Fstatistic)①由上可知，模型為：LNY=+ LNX2+ LNX3②對模型進行檢驗：1），說明模型對樣本擬合較好。②（2）式中的經(jīng)濟意義：工業(yè)增加額每增加1%，%，人民幣匯率每增加1%，%（1）對家庭書刊消費對家庭月平均收入和戶主受教育年數(shù)計量模型，由Eviews分析結果如下：Dependent Variable: YMethod: Least SquaresDate: 12/24/15 Time: 09:03Sample: 1 18Included observations: 18VariableCoefficientStd. ErrortStatisticProb.3）t檢驗，均大于t（15）=，所以這些系數(shù)都是顯著的。TCRsquaredMean dependent varAdjusted Rsquared. dependent var. of regressionAkaike info criterionSum squared residSchwarz criterionLog likelihoodHannanQuinn criter.FstatisticDurbinWatson statProb(Fstatistic)②Dependent Variable: XMethod: Least SquaresDate: 12/24/15 Time: 09:34Sample: 1 18Included observations: 18VariableCoefficientStd. ErrortStatisticProb.E2CRsquaredMean dependent varAdjusted Rsquared. dependent var. of regressionAkaike info criterionSum squared residSchwarz criterionLog likelihoodHannanQuinn criter.FstatisticDurbinWatson statProb(Fstatistic)模型為：E1 = + 參數(shù)：，（3）由上可知，β2與α2的系數(shù)是一樣的。X2X3X4X5X6CRsquaredMean dependent varAdjusted Rsquared. dependent var. of regressionAkaike info criterionSum squared residSchwarz criterionLog likelihoodHannanQuinn criter.FstatisticDurbinWatson statProb(Fstatistic)①與預期不相符。（1）根據(jù)Eviews分析得到數(shù)據(jù)如下：Dependent Variable: LNYMethod: Least SquaresDate: 12/24/15 Time: 10:39Sample: 1985 2011Included observations: 27VariableCoefficientStd. ErrortStatisticProb.②得到相關系數(shù)矩陣如下：LNYLNGDPLNCPILNYLNGDPCRsquaredMean dependent varAdjusted Rsquared. dependent var. of regressionAkaike info criterionSum squared residSchwarz criterionLog likelihoodHannanQuinn criter.FstatisticDurbinWatson statProb(Fstatistic)b)Dependent Variable: LNYMethod: Least SquaresDate: 12/24/15 Time: 10:55Sample: 1985 2011Included observations: 27VariableCoefficientStd. ErrortStatisticProb.LNCPICRsquaredMean dependent varAdjusted Rsquared. dependent var. of regressionAkaike info criterionSum squared residSchwarz criterionLog likelihoodHannanQuinn criter.FstatisticDurbinWatson statProb(Fstatistic)①得到的回歸方程分別為1）LNY= 2）LNY= 3）LNGDPt= ②對多重共線性的認識：單方程擬合效果都很好，回歸系數(shù)顯著，判定系數(shù)較高，GDP和CPI對進口的顯著的單一影響，在這兩個變量同時引入模型時影響方向發(fā)生了改變，這只有通過相關系數(shù)的分析才能發(fā)現(xiàn)。CZZCGDPSSZECRsquaredMean dependent varAdjusted Rsquared. dependent var. of regressionAkaike info criterionSum squared resid2866884.Schwarz criterionLog likelihoodHannanQuinn criter.FstatisticDurbinWatson statProb(Fstatistic)從回歸結果可見，模型擬合的很好。（2）得到相關系數(shù)矩陣如下：CZSRCZZCGDPSSZECZSRCZZCGDPSSZE由上表可知，CZZC與GDP，CZZC與SSZE，GDP與SSZE之間的相關系數(shù)都非常高，說明確實存在多重共線性。（1）①用圖形法檢驗繪制e2的散點圖，用Eviews分析如下：由上圖可知，模型可能存在異方差，② GoldfeldQuanadt檢驗1）定義區(qū)間為17時，由軟件分析得：Dependent Variable: YMethod: Least SquaresDate: 12/24/15 Time: 14:52Sample: 1 7Included observations: 7VariableCoefficientStd. ErrortStatisticProb.TXCRsquaredMean dependent varAdjusted Rsquared. dependent var. of regressionAkaike info criterionSum squared residSchwarz criterionLog likelihoodHannanQuinn criter.FstatisticDurbinWatson statProb(Fstatistic)得∑e2i2=3）根據(jù)GoldfeldQuanadt檢驗，F(xiàn)統(tǒng)計量為：F=∑e2i2 /∑e1i2 =在α=，分子分母的自由度均為4，（4,4）=，因為F= （4,4）=，所以接受原假設，此檢驗表明模型不存在異方