Моделирование и прогнозирование цен на бензин 2007

Regression Summary for Dependent Variable: X2t-2

R= ,82084484 R?= ,67378625 Adjusted R?= ,66472476

F(1,36)=74,357

p<,00000 Std.Error of estimate: ,51947

St. Err.

St. Err.

BETA

of BETA

B

of B

t(37)

p-level

Intercpt

29,30243

0,172379

169,9884

0,000000

T

-0,820845

0,095192

-0,06416

0,007441

-8,6231

0,000000

Полином:

Regression Summary for Dependent Variable: X2t-2

R= ,88640473 R?= ,78571334 Adjusted R?= ,77976093

F(1,36)=132,00 p<,00000 Std.Error of estimate: ,42102

St. Err.

St. Err.

BETA

of BETA

B

of B

t(36)

p-level

Intercept

28,71906

0,092302

311,1421

0,000000

V6**3

-0,886405

0,077152

-0,00004

0,000004

-11,4891

0,000000

Predicting Values for variable: X1

B-Weight

Value

B-Weight* Value

V6**2

9,265090

1849

17131,2

V6**3

-0,210401

79507

-16728,4

Intercept

2300,2

Predicted

2703,0

-95,0%CL

1958,6

+95,0%CL

3447,4

Построение моделей для X4:

Линейная  

Regression Summary for Dependent Variable: x4

R= ,23795270 R?= ,05662149 Adjusted R?= ,03112477 F(1,37)=2,2207 p<,14464 Std.Error of estimate: 9,0744

Intercept

112,2518

2,868499

39,13260

0,000000

T

-0,237953

0,159677

-0,1869

0,125431

-1,49021

0,144644

Нелинейная:

Regression Summary for Dependent Variable: X4

R= ,24970358 R?= ,06235188 Adjusted R?= ,03701003

F(1,37)=2,4604 p<,12526 Std.Error of estimate: 9,0468

St. Err.

St. Err.

BETA

of BETA

B

of B

t(37)

p-level

Intercept

111,1068

2,173043

51,12960

0,000000

V6**2

-0,249704

0,159191

-0,0049

0,003097

-1,56858

0,125260