人均收入和汽车数量Word文档下载推荐.docx

人均收入和汽车数量Word文档下载推荐.docx

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r'

）

b=

-18.0552

0.0158

bint=

-52.760416.6499

0.01400.0176

r=

5.4158

4.9338

-2.1506

11.3594

0.8587

-2.2452

-9.6385

-16.1762

-21.7559

-5.8251

35.2238

rint=

-27.408638.2401

-28.930238.7979

-36.798432.4971

-22.919645.6384

-35.257136.9746

-38.698934.2084

-45.251925.9749

-49.726817.3744

-51.70478.1929

-38.618426.9681

23.041247.4064

stats=

0.9782404.00980.0000255.0720

汽车价格指数与汽车数量关系

x=[95.6,95.9,96.3,96.5,97.1,97.8,99.5,100.1,101.5,99.9,100.2]'

1.0e+003*

-3.9836

0.0434

-5.7528-2.2144

0.02530.0614

-10.5143

-4.6210

-15.0633

12.1656

3.3522

1.7033

-42.7013

-43.5147

-66.6126

50.4564

115.3497

-118.637697.6089

-115.4725106.2305

-128.089397.9628

-102.2492126.5803

-114.1177120.8222

-117.4477120.8542

-154.490069.0873

-151.954664.9252

-153.182119.9569

-57.2562158.1691

49.6359181.0636

0.00080.02970.00002.7252

燃料价格和汽车数量的关系

x=[104.3,101.7,102.3,109.6,102.0,117.1,113.1,105.1,132.3,85.1,121.3]'

37.2380

2.1881

-621.6300696.1061

-3.84688.2231

-114.7577

-90.1686

-84.5814

-64.6546

-30.8250

-35.1654

2.8870

45.5919

23.6753

174.6540

173.3445

-333.4842103.9689

-313.5181133.1809

-310.0386140.8757

-297.6361168.3268

-264.5820202.9320

-265.8272195.4963

-234.0560239.8300

-189.3277280.5114

-159.3659206.7166

52.2486297.0595

-3.0208349.7098

1.0e+004*

0.00000.00010.00001.0891

x=[2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010]'

-6.0258

0.0030

-7.0536-4.9980

0.00250.0035

26.9273

15.6364

-7.6545

-1.9455

-14.9364

-16.4273

-17.3182

-22.3091

-14.9000

2.6091

50.3182

-14.943868.7984

-32.598963.8717

-59.156843.8477

-55.193451.3025

-67.697537.8247

-69.185036.3305

-69.611534.9751

-72.502727.8845

-65.377235.5772

-47.177352.3955

25.876274.7601

0.9517177.51940.0000564.8059

x1=[10349.7,11577.8,12463.9,13882.6,15637.8,17653.0,19978.0,21989.0,24725.0,26738.0,29073.0]'

x2=[95.6,95.9,96.3,96.5,97.1,97.8,99.5,100.1,101.5,99.9,100.2]'

x3=[104.3,101.7,102.3,109.6,102.0,117.1,113.1,105.1,132.3,85.1,121.3]'

x4=[2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010]'

X=[x1x2x3x4];

stepwise（X,Y）

X=[ones（11,1）x1x2x3x4];

b=regress（Y,X）

8.1608

0.0000

-0.0206

0.0006

-0.0032