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计量经济学庞皓第三版课后答案

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第二章 简单线性回归模型 2.1

(1) ①首先分析人均寿命与人均GDP的数量关系,用Eviews分析: Dependent Variable: Y Method: Least Squares Date: 12/27/14 Time: 21:00 Sample: 1 22

Included observations: 22

Variable

CX1

R-squared

Coefficien

t Std. Error t-Statistic Prob.

56.64794 0.128360

1.960820 0.027242

28.88992 4.711834

0.0000 0.0001 62.50000

Mean dependent

0.526082 var

S.D. dependent

Adjusted R-squared 0.502386 var

Akaike info

10.08889

S.E. of regression 7.116881 criterion

Schwarz

6.849324

Sum squared resid 1013.000 criterion

Hannan-Quinn

6.948510

Log likelihood -73.34257 criter.

Durbin-Watson

6.872689

F-statistic Prob(F-statistic)

22.20138 stat 0.000134

0.629074

1 有上可知,关系式为y=56.64794+0.128360x

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②关于人均寿命与成人识字率的关系,用Eviews分析如下:

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Dependent Variable: Y Method: Least Squares Date: 11/26/14 Time: 21:10 Sample: 1 22

Included observations: 22

Variable

CX2

R-squared

Coefficien

t Std. Error t-Statistic Prob.

38.79424 0.331971

3.532079 0.046656

10.98340 7.115308

0.0000 0.0000 62.50000

Mean dependent

0.716825 var

S.D. dependent

Adjusted R-squared 0.702666 var

Akaike info

10.08889

S.E. of regression 5.501306 criterion

Schwarz

6.334356

Sum squared resid 605.2873 criterion

Hannan-Quinn

6.433542

Log likelihood -67.67792 criter.

Durbin-Watson

6.357721

F-statistic Prob(F-statistic)

50.62761 stat 0.000001

1.846406

2

由上可知,关系式为y=38.79424+0.331971x

③关于人均寿命与一岁儿童疫苗接种率的关系,用Eviews分析如下:

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Dependent Variable: Y Method: Least Squares

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Date: 11/26/14 Time: 21:14 Sample: 1 22

Included observations: 22

Variable

CX3

R-squared

Coefficien

t Std. Error t-Statistic Prob.

31.79956 0.387276

6.536434 0.080260

4.864971 4.825285

0.0001 0.0001 62.50000

Mean dependent

0.537929 var

S.D. dependent

Adjusted R-squared 0.514825 var

Akaike info

10.08889

S.E. of regression 7.027364 criterion

Schwarz

6.824009

Sum squared resid 987.6770 criterion

Hannan-Quinn

6.923194

Log likelihood -73.06409 criter.

Durbin-Watson

6.847374

F-statistic Prob(F-statistic)

23.28338 stat 0.000103

0.952555

3

由上可知,关系式为y=31.79956+0.387276x

(2)①关于人均寿命与人均GDP模型,由上可知,可决系数为0.526082,说明所建模型整体上对样本数据拟合较好。

对于回归系数的t检验:t(β1)=4.711834>t0.025(20)=2.086,对斜率系数的显著性检验表明,人均GDP对人均寿命有显著影响。

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计量经济学庞皓第三版课后答案

第二章简单线性回归模型2.1(1)①首先分析人均寿命与人均GDP的数量关系,用Eviews分析:DependentVariable:YMethod:LeastSquaresDate:12/27/14Time:21:00Sample:122Includedobservations:2
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