紧急：求指导下面数据的分析（Manova)

Ginger雁

3640

收藏 2014-01-16

用多元分析出来了一组数据但是实在是不会看，求大侠们指点自变量和因变量的相关性，哪组数据体现了这些相关性！求解啊，因为初学者看不出来那两组数据是最有价值意义的。感谢！

MANOVA

X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 WITHY1 Y2

/DISCRIM RAW STAN ESTIM CORRROTATE(VARIMAX) ALPHA(0.05)

/PRINT SIGNIF(EIGN DIMENR HYPOTH)

/NOPRINT SIGNIF(MULT UNIV) PARAM(ESTIM)

/ERROR WITHIN+RESIDUAL

/DESIGN.

Manova

[数据集2]

* * * * * * * * * * * * * * * * * A n a l ys i s o f V a r i a n c e * * * * * * * * * * * * * ** * *

396 cases accepted.

0 cases rejected because of out-of-range factor values.

0 cases rejected because of missing data.

1 non-empty cell.

1 design will be processed.

* * * * * * * * * * * * * * * * A n a l ys i s o f V a r i a n c e -- Design 1 * * * * * * * * * * * * * * * * *

EFFECT .. WITHIN+RESIDUAL Regression

Adjusted Hypothesis Sum-of-Squares andCross-Products

X1 X2 X3 X4 X5 X6 X7

X1 139.09606

X2 63.50429 34.50304

X3 11.82861 3.75296 1.49842

X4 44.71619 25.43400 2.30214 18.94653

X5 -96.84997 -44.54808 -8.13701 -31.43674 67.45472

X6 85.04562 38.65997 7.28231 27.18756 -59.20559 52.00339

X7 47.20147 17.62561 5.18720 11.59989 -32.62960 28.97911 18.81229

X8 91.85359 39.69963 8.47968 27.49210 -63.82151 56.22881 32.76251

X9 113.62361 56.93719 8.14895 41.13832 -79.41829 69.31737 34.95225

X10 143.99743 67.11517 11.83488 47.54258 -100.34525 88.00064 47.88679

X11 -86.38201 -47.74976 -4.86077 -35.34072 60.64583 -52.56256 -23.39358

X12 -130.47701 -63.30914 -9.97753 -45.35176 91.07350 -79.66204 -41.61319

X8 X9 X10 X11 X12

X8 61.56397

X9 72.97820 97.46681

X10 94.53302 118.88896 149.41372

X11 -53.67012 -78.19953 -91.49728 66.18404

X12 -84.64421 -110.01888 -136.00667 86.67096 124.93038

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Eigenvalues and Canonical Correlations

RootNo. Eigenvalue Pct. Cum. Pct. Canon Cor. Sq. Cor

1 1.16903 94.46537 94.46537 .73414 .53897

2 .06849 5.53463 100.00000 .25318 .06410

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Dimension Reduction Analysis

Roots Wilks L. F Hypoth. DF Error DF Sig. of F

1 TO2 .43148 16.62863 24.00 764.00 .000

2 TO2 .93590 2.38478 11.00 383.00 .007

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Rawcanonical coefficients for DEPENDENT variables

Function No.

Variable 1 2

X1 .13476 -.27260

X2 .15983 .26855

X3 .03574 -.30445

X4 .08857 .34570

X5 -.14047 .07782

X6 .27919 -.30630

X7 -.03483 -.15700

X8 .15795 -.25619

X9 .15821 .63290

X10 .34708 -.25431

X11 -.09313 -.52109

X12 -.08986 .09753

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Standardized canonical coefficients forDEPENDENT variables

Function No.

Variable 1 2

X1 .15004 -.30351

X2 .17190 .28882

X3 .03845 -.32750

X4 .08777 .34258

X5 -.18365 .10175

X6 .21559 -.23653

X7 -.04193 -.18902

X8 .15239 -.24717

X9 .14530 .58125

X10 .35356 -.25905

X11 -.10274 -.57488

X12 -.12443 .13505

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Correlations between DEPENDENT and canonicalvariables

Function No.

Variable 1 2

X1 .72235 -.21127

X2 .35642 .33172

X3 .05909 -.14759

X4 .27573 .35030

X5 -.42905 .10393

X6 .63613 -.20452

X7 .21712 -.34085

X8 .54368 -.35623

X9 .73148 .25510

X10 .82126 -.12550

X11 -.47479 -.50224

X12 -.55270 -.06816

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Variance in dependent variables explained bycanonical variables

CAN.VAR. Pct Var DEP Cum Pct DEP Pct Var COV Cum Pct COV

1 28.33550 28.33550 15.27185 15.27185

2 7.77149 36.10699 .49817 15.77002

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Rawcanonical coefficients for COVARIATES

Function No.

COVARIATE 1 2

Y1 .39026 1.28058

Y2 .64348 -1.18401

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Standardized canonical coefficients forCOVARIATES

CAN. VAR.

COVARIATE 1 2

Y1 .40891 1.34179

Y2 .66981 -1.23246

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Ginger雁

2014-1-16 14:13:17

Correlations between COVARIATES and canonical variables
         CAN. VAR.

Covariate                1             2

Y1                .87863          .47751
Y2                .95657       -.29151

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Variance in covariates explained by canonical variables

CAN. VAR.    Pct Var DEP    Cum Pct DEP    Pct Var COV    Cum Pct COV

      1          45.46177       45.46177       84.35011       84.35011
      2          1.00319       46.46496       15.64989       100.00000

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VARIMAX rotated correlations between canonical variables and COVARIATES
         Can. Var.

DEP. VAR.                1             2

X1                .67730          .73571
X2                .99945          .03308
X3                .13216       -.27658
X4                -.02784          .35578
X5                -.15808          .02828
X6                .36316       -.19971
X7                .01775       -.15983
X8                .23223       -.19144
X9                -.05469          .65008
X10                .41061       -.12857
X11                .08017       -.52324
X12                -.11654          .06327

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Transformation Matrix

                        1             2

      1          .94640          .32300
      2          -.32300          .94640

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Regression analysis for WITHIN+RESIDUAL error term
--- Individual Univariate .9500 confidence intervals
Dependent variable .. X1

COVARIATE             B          Beta    Std. Err.       t-Value    Sig. of t    Lower -95%    CL- Upper

Y1          .1541537633 .1450769897       .06361       2.42323          .016       .02909       .27922
Y2          .4504339765 .4211293884       .06404       7.03416          .000       .32454       .57633
Dependent variable .. X2

COVARIATE             B          Beta    Std. Err.       t-Value    Sig. of t    Lower -95%    CL- Upper

Y1          .2254890969 .2196863162       .06983       3.22910          .001       .08820       .36278
Y2          .0741364107 .0717544794       .07029       1.05470          .292       -.06406       .21233
Dependent variable .. X3

COVARIATE             B          Beta    Std. Err.       t-Value    Sig. of t    Lower -95%    CL- Upper

Y1          -.0332645332 -.0324012449       .07252       -.45867          .647       -.17585       .10932
Y2          .0776220895 .0751113548       .07300       1.06327          .288       -.06590       .22115
Dependent variable .. X4

COVARIATE             B          Beta    Std. Err.       t-Value    Sig. of t    Lower -95%    CL- Upper

Y1          .1908360853 .2017772863       .06527       2.92397          .004       .06252       .31915
Y2          .0250215502 .0262824589       .06570       .38086          .704       -.10414       .15418
Dependent variable .. X5

COVARIATE             B          Beta    Std. Err.       t-Value    Sig. of t    Lower -95%    CL- Upper

Y1          -.1166584214 -.0934937291       .08376    -1.39273          .164       -.28134       .04802
Y2          -.3057233709 -.2434081019       .08432    -3.62592          .000       -.47149       -.13996
Dependent variable .. X6

COVARIATE             B          Beta    Std. Err.       t-Value    Sig. of t    Lower -95%    CL- Upper

Y1          .0895342898 .1214873653       .04603       1.94504          .052       -.00097       .18003
Y2          .2794027556 .3766278307       .04634       6.02989          .000       .18830       .37050
Dependent variable .. X7

COVARIATE             B          Beta    Std. Err.       t-Value    Sig. of t    Lower -95%    CL- Upper

Y1          -.0581547741 -.0506111971       .07996       -.72732          .467       -.21535       .09904
Y2          .2465101182 .2131257816       .08049       3.06279          .002       .08827       .40475
Dependent variable .. X8

COVARIATE             B          Beta    Std. Err.       t-Value    Sig. of t    Lower -95%    CL- Upper

Y1          .0388507856 .0421940219       .05945       .65354          .514       -.07802       .15572
Y2          .3508175976 .3785057597       .05984       5.86264          .000       .23317       .46846
Dependent variable .. X9

COVARIATE             B          Beta    Std. Err.       t-Value    Sig. of t    Lower -95%    CL- Upper

Y1          .2684279510 .3062518060       .05216       5.14587          .000       .16587       .37098
Y2          .2471254915 .2800970092       .05251       4.70640          .000       .14389       .35036
Dependent variable .. X10

COVARIATE             B          Beta    Std. Err.       t-Value    Sig. of t    Lower -95%    CL- Upper

Y1          .1982398401 .2039087959       .05484       3.61504          .000       .09043       .30605
Y2          .4335334428 .4430039812       .05520       7.85390          .000       .32501       .54206
Dependent variable .. X11

COVARIATE             B          Beta    Std. Err.       t-Value    Sig. of t    Lower -95%    CL- Upper

Y1          -.3297165861 -.3131523126       .06918    -4.76590          .000       -.46573       -.19370
Y2          -.0813490776 -.0767551394       .06964    -1.16815          .243       -.21826       .05556
Dependent variable .. X12

COVARIATE             B          Beta    Std. Err.       t-Value    Sig. of t    Lower -95%    CL- Upper

Y1          -.2498784084 -.1890760892       .08545    -2.92419          .004       -.41788       -.08188
Y2          -.3332647741 -.2505170532       .08602    -3.87441          .000       -.50238       -.16415

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* * * * * * * * * * * * * * * * * A n a l y s i s o f V a r i a n c e -- Design 1 * * * * * * * * * * * * * * * * *

EFFECT .. CONSTANT
Adjusted Hypothesis Sum-of-Squares and Cross-Products

                        X1             X2             X3             X4             X5             X6             X7

X1                43.65481
X2                73.83589       124.88290
X3                84.56542       143.03036       163.81494
X4                76.25610       128.97633       147.71864       133.20394
X5             115.34866       195.09583       223.44634       201.49071       304.78458
X6                83.88495       141.87944       162.49677       146.52999       221.64834       161.18921
X7                85.81476       145.14345       166.23510       149.90099       226.74748       164.89746       168.69101
X8                61.84995       104.61038       119.81192       108.03932       163.42548       118.84783       121.58199
X9                47.01810       79.52442       91.08058       82.13109       124.23545       90.34768       92.42618
X10             39.04595       66.04066       75.63742       68.20535       103.17071       75.02878       76.75486
X11             103.30024       174.71765       200.10689       180.44458       272.94918       198.49669       203.06322
X12             151.01091       255.41345       292.52907       263.78544       399.01458       290.17518       296.85082

                        X8             X9             X10             X11             X12

X8                87.62874
X9                66.61504       50.64051
X10             55.32013       42.05416       34.92367
X11             146.35534       111.25879       92.39431       244.43905
X12             213.95161       162.64522       135.06792       357.33666       522.37761

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Eigenvalues and Canonical Correlations

Root No.    Eigenvalue          Pct.    Cum. Pct.    Canon Cor.

      1       3.69966    100.00000    100.00000       .88725

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EFFECT .. CONSTANT (Cont.)
Raw discriminant function coefficients
         Function No.

Variable                1

X1                -.28377
X2                -.26704
X3                -.10880
X4                -.17823
X5                -.26206
X6                -.76967
X7                -.00916
X8                -.05047
X9                -.27861
X10                .06273
X11                -.45774
X12                -.26757

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Standardized discriminant function coefficients
         Function No.

Variable                1

X1                -.26800
X2                -.27684
X3                -.11714
X4                -.17269
X5                -.32588
X6                -.52599
X7                -.01088
X8                -.04454
X9                -.21576
X10                .05107
X11                -.47014
X12                -.33944

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Estimates of effects for canonical variables
         Canonical Variable

  Parameter             1

      1          -8.14630

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Correlations between DEPENDENT and canonical variables
         Canonical Variable

Variable                1

X1                -.18347
X2                -.28270
X3                -.31175
X4                -.31238
X5                -.36818
X6                -.48722
X7                -.28695
X8                -.27817
X9                -.24099
X10                -.19037
X11                -.39921
X12                -.47248

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