1. Modelo RA =  - Anexo G.pdf

(1)

Anexo G

–

Modelos Lineares

1. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Global)

Variables Entered/Removed(b)

Model

Variables Entered

Variables

Removed Method 1 CFE(a) . Enter a All requested variables entered.

b Dependent Variable: RA

Model Summary(b)

Model R R Square

Adjusted R Square

Std. Error of the Estimate 1 ,129(a) ,017 ,017 ,0639433 a Predictors: (Constant), CFE

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig. 1 Regression 1,587 1 1,587 388,128 ,000(a) Residual 93,264 22810 ,004

Total 94,851 22811

a Predictors: (Constant), CFE b Dependent Variable: RA

Coefficients(a)

Model

Unstandardized Coefficients

Standardized

Coefficients t Sig. 95% Confidence Interval for B

(2)

2. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Anual - 1996)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

Std. Error of the Estimate

Durbin-Watson 1 ,128(a) ,016 ,016 ,0708758 1,982 a Predictors: (Constant), CFE

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig. 1 Regression ,273 1 ,273 54,364 ,000(a) Residual 16,356 3256 ,005

Total _16,629 ₃₂₅₇

Coefficients(a)

Model

Standardized

(3)

3. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Anual - 1997)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 15,289 3261

Coefficients(a)

Model Unstandardized Coefficients

Standardized

(4)

4. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Anual - 1998)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 14,054 3260

Coefficients(a)

Standardized

(5)

5. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Anual - 1999)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 12,738 3262

Coefficients(a)

Model

Standardized

(6)

6. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Anual - 2000)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 12,032 3256

Coefficients(a)

Standardized

(7)

7. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Anual - 2001)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 11,112 3257

Coefficients(a)

Model

Standardized

(8)

8. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Anual - 2002)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 12,924 3255

Coefficients(a)

Standardized

(9)

9. Modelo RCP =



0

+



1

(CFE) +



i

(Amostra Global)

Model

Variables Entered

Variables

b Dependent Variable: RCP

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 773,830 22851

a Predictors: (Constant), CFE b Dependent Variable: RCP

Coefficients(a)

Standardized

(10)

10. Modelo RCP =



0

+



1

(CFE) +



i

(Amostra Anual - 1996)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _171,444 ₃₂₆₇

Coefficients(a)

Model

Standardized

(11)

11. Modelo RCP =



0

+



1

(CFE) +



i

(Amostra Anual - 1997)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _119,304 ₃₂₆₇

Coefficients(a)

Model

Standardized

(12)

12. Modelo RCP =



0

+



1

(CFE) +



i

(Amostra Anual - 1998)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _111,884 ₃₂₆₈

Coefficients(a)

Model

Standardized

(13)

13. Modelo RCP =



0

+



1

(CFE) +



i

(Amostra Anual

–

1999)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _94,063 ₃₂₆₆

Coefficients(a)

Model

Standardized

(14)

14. Modelo RCP =



0

+



1

(CFE) +



i

(Amostra Anual

–

2000)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _96,684 ₃₂₆₅

Coefficients(a)

Model

Standardized

(15)

15. Modelo RCP =



0

+



1

(CFE) +



i

(Amostra Anual

–

2001)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _88,783 ₃₂₆₃

Coefficients(a)

Model

Standardized

(16)

16. Modelo RCP =



0

+



1

(CFE) +



i

(Amostra Anual

–

2002)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _113,222 ₃₂₅₈

Coefficients(a)

Model

Standardized

(17)

17. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Global)

Model

Variables Entered

Variables

Removed Method 1 FV, CLV,

EXV(a) . Enter a All requested variables entered.

Model R R Square

Adjusted R Square

Std. Error of the Estimate 1 ,172(a) ,030 ,029 ,0635257 a Predictors: (Constant), FV, CLV, EXV

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig. 1 Regression 2,809 3 ,936 232,048 ,000(a) Residual 92,042 22808 ,004

Total 94,851 22811

a Predictors: (Constant), FV, CLV, EXV b Dependent Variable: RA

Coefficients(a)

Standardized

(18)

18. RCP =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Global)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 773,830 22851

a Predictors: (Constant), FV, CLV, EXV b Dependent Variable: RCP

Coefficients(a)

Standardized

(19)

19. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

DA: Alimentar)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _5,181 ₁₁₄₆

Coefficients(a)

Model

Standardized

(20)

20. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

DA:

Alimentar)

Model

Variables Entered

Variables

Removed Method 1 FV, EXV,

CLV(a) . Enter a All requested variables entered.

Model R R Square

Adjusted R Square

Std. Error of the Estimate 1 ,251(a) ,063 ,060 ,0651742 a Predictors: (Constant), FV, EXV, CLV

ANOVA(b)

Model

Sum of

Total 5,181 1146

a Predictors: (Constant), FV, EXV, CLV b Dependent Variable: RA

Coefficients(a)

Standardized

(21)

21. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

DB: Têxtil)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _5,572 ₁₇₉₄

Coefficients(a)

Model

Standardized

(22)

22. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

DB:

Têxtil)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 5,572 1794

Coefficients(a)

Standardized

(23)

23. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

DC: Calçado)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 1,088 473

Coefficients(a)

Standardized

(24)

24. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

DC:

Calçado)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 1,088 473

Coefficients(a)

Standardized

(25)

25. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

DD: Madeira e Cortiça)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _1,684 ₇₀₅

Coefficients(a)

Model

Standardized

(26)

26. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

DD:

Madeira e Cortiça)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 1,684 705

Coefficients(a)

Standardized

(27)

27. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

DE: Papel)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _4,037 ₇₇₇

Coefficients(a)

Model

Standardized

(28)

28. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

DE:

Papel)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 4,037 777

Coefficients(a)

Standardized

(29)

29. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

DG: Prod.Químicos e

Fíbras)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _2,292 ₃₃₈

Coefficients(a)

Model

Standardized

(30)

30. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

DG:

Prod.Químicos e Fíbras)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 2,292 338

Coefficients(a)

Standardized

Coefficients 95% Confidence Interval for B

Model B Std. Error Beta t Sig. Lower Bound Upper Bound (Constant) ,154 ,011 14,446 ,000 ,133 ,175 CLV -,057 ,041 -,084 -1,408 ,160 -,137 ,023 EXV -,117 ,040 -,163 -2,918 ,004 -,195 -,038 1

(31)

31. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

DH: Art.Borracha e

Plástico)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _1,233 ₂₈₉

Coefficients(a)

Model

Standardized

(32)

32. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

DH:

Art.Borracha e Plástico)

Model

Variables Entered

Variables

Removed Method 1 _{FV, EXV,}

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig. 1 Regression ,234 3 ,078 22,303 ,000(a) Residual ,999 286 ,003

Total 1,233 289

Coefficients(a)

Standardized

(33)

33. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

DI: Outros Produtos

Minerais)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _2,517 ₇₅₄

Coefficients(a)

Model

Standardized

(34)

34. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

DI:

Outros Produtos Minerais)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 2,517 754

Coefficients(a)

Standardized

(35)

35. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

DJ: Metalurgias)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 4,352 1283

Coefficients(a)

Model

Standardized

(36)

36. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

DJ:

Metalurgias)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 4,352 1283

Coefficients(a)

Standardized

(37)

37. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

DK: Máq. e Equip.)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

Std. Error of the Estimate 1 ,023(a) ,001 -,001 ,0627260 a Predictors: (Constant), CFE

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig. 1 Regression ,002 1 ,002 ,508 ,476(a) Residual 3,785 962 ,004

Total 3,787 963

Coefficients(a)

Model

Standardized

(38)

38. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

DK:

Máq. e Equip.)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 3,787 963

Coefficients(a)

Standardized

(39)

39. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

DL: Equip. Eléctrico e de

Óptica)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 2,687 405

Coefficients(a)

Standardized

(40)

40. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

DL:

Equip. Eléctrico e de Óptica)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 2,687 405

Coefficients(a)

Standardized

(41)

41. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

DM: Mat. Transporte)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 2,423 365

Coefficients(a)

Standardized

(42)

42. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

DM:

Mat. Transporte)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 2,423 365

Coefficients(a)

Standardized

(43)

43. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

DN: Mobiliário)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 3,192 921

Coefficients(a)

Standardized

(44)

44. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

DN:

Mobiliário)

Model

Variables Entered

Variables

Removed Method 1 _{FV, CLV,}

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 3,192 921

Coefficients(a)

Standardized

(45)

45. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

EE: Electricidade, Gás e

Água)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

Std. Error of the Estimate 1 ,065(a) ,004 -,001 ,0728538 a Predictors: (Constant), CFE

ANOVA(b)

Model

Sum of

Squares df Mean Square F Sig. 1 Regression ,004 1 ,004 ,826 ,364(a) Residual 1,046 197 ,005

Total 1,050 198

Coefficients(a)

Standardized

(46)

46. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

EE:

Electricidade, Gás e Água)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 1,050 198

Coefficients(a)

Standardized

(47)

47. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

FF: Construção)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 14,601 4882

Coefficients(a)

Standardized

(48)

48. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

FF:

Construção)

Model

Variables Entered

Variables

Removed Method 1 _{FV, CLV,}

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 14,601 4882

Coefficients(a)

Standardized

(49)

49. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

GG: Comércio)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 20,464 4422

Coefficients(a)

Model

Standardized

(50)

50. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

GG:

Comércio)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 20,464 4422

Coefficients(a)

Standardized

(51)

51. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

HH: Aloj. e Restauração)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 2,920 456

Coefficients(a)

Standardized

(52)

52. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

HH:

Aloj. e Restauração)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 2,920 456

Coefficients(a)

Standardized

(53)

53. Modelo RA =



0

+



1

(CFE) +



i

(Amostra Sectorial

–

II: Transp., Armaz. e

Comunicação)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 17,547 2581

Coefficients(a)

Standardized

(54)

54. RA =



0

+



1

(CLV) +



2

(EXV) +



3

(FV) +



i

(Amostra Sectorial

–

II:

Transp., Armaz. e Comunicação)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 17,547 2581

Coefficients(a)

Standardized

(55)

55. FV =



0

+



1

(DPPO_C) +



i

(Amostra Global)

Model

Variables Entered

Variables

Removed Method 1 DPPO_C(a) . Enter a All requested variables entered.

b Dependent Variable: FV

Model R R Square

Adjusted R Square

Std. Error of the Estimate 1 ,161(a) ,026 ,026 ,12369 a Predictors: (Constant), DPPO_C

ANOVA(b)

Model

Sum of

Total 233,587 14872

a Predictors: (Constant), DPPO_C b Dependent Variable: FV

Coefficients(a)

Standardized

(56)

56. FV =



0

+



1

(DPPO_C) +



i

(Amostra Anual - 1996)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

Durbin-Watson 1 ,159(a) ,025 ,025 ,12653 1,893 a Predictors: (Constant), DPPO_C

ANOVA(b)

Model

Sum of

Total 36,886 2247

Coefficients(a)

Model

Standardized

(57)

57. FV =



0

+



1

(DPPO_C) +



i

(Amostra Anual - 1997)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 33,950 2239

Coefficients(a)

Model

Standardized

(58)

58. FV =



0

+



1

(DPPO_C) +



i

(Amostra Anual - 1998)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 33,635 2277

Coefficients(a)

Standardized

(59)

59. FV =



0

+



1

(DPPO_C) +



i

(Amostra Anual - 1999)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _29,056 ₂₀₆₈

Coefficients(a)

Model

Standardized

(60)

60. FV =



0

+



1

(DPPO_C) +



i

(Amostra Anual - 2000)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total _29,282 ₂₀₁₁

Coefficients(a)

Model

Standardized

(61)

61. FV =



0

+



1

(DPPO_C) +



i

(Amostra Anual - 2001)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 32,058 1978

Coefficients(a)

Standardized

(62)

62. FV =



0

+



1

(DPPO_C) +



i

(Amostra Anual - 2002)

Model

Variables Entered

Variables

Model R R Square

Adjusted R Square

ANOVA(b)

Model

Sum of

Total 39,654 2050

Coefficients(a)

Standardized

(63)

63. Modelo RA =



0

+



1

(CFE) +



2

(d) +



3

(d x CFE) +



i

(Amostra Global)

Model

Variables Entered

Variables

Removed Method 1 _DALLRCFE,

CFE, DALLR(a)

. Enter

a All requested variables entered. b Dependent Variable: RA

Model R R Square

Adjusted R Square

Std. Error of the Estimate 1 ,146(a) ,021 ,021 ,0641049 a Predictors: (Constant), DALLRCFE, CFE, DALLR

ANOVA(b)

Model

Sum of

Total 86,023 20490

a Predictors: (Constant), DALLRCFE, CFE, DALLR b Dependent Variable: RA

Coefficients(a)

Model

Standardized

(64)

64. Modelo RA =



0

+



1

(CFE) +



2

(d) +



3

(d x CFE) +



i

(Amostra Anual -

1996)

Model

Variables Entered

Variables

Removed Method 1

D996RCFE, CFE, D1996R(a)

. Enter

a All requested variables entered. b Dependent Variable: RA

Model R R Square

Adjusted R Square

Durbin-Watson 1 ,148(a) ,022 ,021 ,0707556 1,997 a Predictors: (Constant), D996RCFE, CFE, D1996R

ANOVA(b)

Model

Sum of

Total 14,953 2924

a Predictors: (Constant), D996RCFE, CFE, D1996R b Dependent Variable: RA

Coefficients(a)

Model

Standardized

B Std. Error Beta Lower Bound Upper Bound 1 (Constant) ,077 ,003 29,370 ,000 ,071 ,082 CFE -,050 ,006 -,188 -7,689 ,000 -,063 -,037 D1996R -,006 ,004 -,043 -1,680 ,093 -,013 ,001 D996RCF