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  • 8/3/2019 Disc Rim in Ant

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    Discriminant

    [DataSet0] C:\Users\PNP\Documents\ffadfad.sav

    Analysis Case Process ing Summ ary

    36 100,0

    0 ,0

    0 ,0

    0 ,0

    0 ,0

    36 100,0

    Unw eighted CasesValid

    Missing or out-of -range

    group codes

    At least one missing

    discriminating variable

    Both miss ing or

    out-of-range group codes

    and at least one missing

    discriminating variable

    Total

    Excluded

    Total

    N Percent

    Group Statistics

    ,6889 ,08695 9 9,000

    2,2856 ,98457 9 9,000

    ,5822 ,22988 9 9,000

    ,0978 ,03420 9 9,000

    ,0167 ,03674 9 9,000

    ,0467 ,05385 9 9,000

    ,5867 ,11708 27 27,000

    1,6767 ,65197 27 27,0001,4552 ,50674 27 27,000

    ,0956 ,04742 27 27,000

    ,0674 ,04629 27 27,000

    ,1344 ,07924 27 27,000

    ,6122 ,11801 36 36,000

    1,8289 ,78028 36 36,000

    1,2369 ,59144 36 36,000

    ,0961 ,04403 36 36,000

    ,0547 ,04896 36 36,000

    ,1125 ,08254 36 36,000

    DEBTRATIO

    CURTRATIO

    TAT

    OPM

    ROA

    ROE

    DEBTRATIO

    CURTRATIOTAT

    OPM

    ROA

    ROE

    DEBTRATIO

    CURTRATIO

    TAT

    OPM

    ROA

    ROE

    BONDRATE

    Non Investment Grade

    Investment Grade

    Total

    Mean Std. Deviation Unw eighted Weighted

    Valid N (listw ise)

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    Tes ts of Equality of Group M eans

    ,855 5,752 1 34 ,022

    ,883 4,524 1 34 ,041

    ,580 24,636 1 34 ,000

    1,000 ,017 1 34 ,898

    ,793 8,883 1 34 ,005

    ,782 9,483 1 34 ,004

    DEBTRATIO

    CURTRATIO

    TAT

    OPM

    ROA

    ROE

    Wilks'

    Lambda F df1 df2 Sig.

    Pooled Within-Groups M atricesa

    ,012 -,024 ,017 -,003 -,002 -,001

    -,024 ,553 ,022 -,002 -4,3E-005 -,003

    ,017 ,022 ,209 ,002 ,010 ,014

    -,003 -,002 ,002 ,002 ,001 ,002-,002 -4,31E-005 ,010 ,001 ,002 ,002

    -,001 -,003 ,014 ,002 ,002 ,005

    1,000 -,297 ,331 -,525 -,332 -,158

    -,297 1,000 ,065 -,049 -,001 -,052

    ,331 ,065 1,000 ,095 ,508 ,423

    -,525 -,049 ,095 1,000 ,703 ,699

    -,332 -,001 ,508 ,703 1,000 ,746

    -,158 -,052 ,423 ,699 ,746 1,000

    DEBTRATIO

    CURTRATIO

    TAT

    OPM

    ROA

    ROE

    DEBTRATIO

    CURTRATIO

    TAT

    OPM

    ROA

    ROE

    Covariance

    Correlation

    DEBTRATIO CURTRATIO TAT OPM ROA ROE

    The covariance matrix has 34 degrees of f reedom.a.

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    Analysis 1

    Box's Test of Equality of Covariance Matrices

    Covariance Matricesa

    ,008 -,049 ,014 -,002 ,000 ,000

    -,049 ,969 -,045 ,000 -,009 -,009

    ,014 -,045 ,053 -,001 ,003 ,001

    -,002 ,000 -,001 ,001 ,001 ,001

    ,000 -,009 ,003 ,001 ,001 ,002

    ,000 -,009 ,001 ,001 ,002 ,003

    ,014 -,017 ,018 -,003 -,002 -,002

    -,017 ,425 ,043 -,002 ,003 -,001

    ,018 ,043 ,257 ,003 ,013 ,019

    -,003 -,002 ,003 ,002 ,002 ,003

    -,002 ,003 ,013 ,002 ,002 ,003

    -,002 -,001 ,019 ,003 ,003 ,006

    ,014 -,012 -,001 -,002 -,003 -,003

    -,012 ,609 -,081 -,001 -,006 -,013

    -,001 -,081 ,350 ,002 ,019 ,029

    -,002 -,001 ,002 ,002 ,001 ,002

    -,003 -,006 ,019 ,001 ,002 ,003

    -,003 -,013 ,029 ,002 ,003 ,007

    DEBTRATIO

    CURTRATIO

    TAT

    OPM

    ROA

    ROE

    DEBTRATIO

    CURTRATIO

    TAT

    OPM

    ROA

    ROE

    DEBTRATIO

    CURTRATIO

    TAT

    OPM

    ROA

    ROE

    BONDRATE

    Non Investment Grade

    Investment Grade

    Total

    DEBTRATIO CURTRATIO TAT OPM ROA ROE

    The total covariance matrix has 35 degrees of freedom.a.

    Log Deter minants

    4 -17,476

    4 -13,316

    4 -13,582

    BONDRATE

    Non Investment Grade

    Investment Grade

    Pooled w ithin-groups

    Rank

    Log

    Determinant

    The ranks and natural logarithms of determinants

    printed are those of the group covariance matrices.

    Test Results

    24,251

    1,93510

    1016,889

    ,037

    Box's M

    Approx.df1

    df2

    Sig.

    F

    Tests null hypothesis of equal population covariance matrices .

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    Stepwise Statistics

    Variables Entered/Removeda,b,c,d

    TAT ,580 1 1 34,000 24,636 1 34,000 ,000

    DEBTRAT

    IO,442 2 1 34,000 20,871 2 33,000 ,000

    CURTRA

    TIO,361 3 1 34,000 18,904 3 32,000 ,000

    OPM ,270 4 1 34,000 20,976 4 31,000 ,000

    Step

    1

    2

    3

    4

    Entered Statistic df1 df2 df3 Statistic df1 df2 Sig.Exact F

    Wilks' Lambda

    At each step, the variable that minimizes the overall Wilks' Lambda is entered.

    Maximum number of steps is 12.a.

    Minimum partial F to enter is 3.84.b.

    Maximum partial F to remove is 2.71.c.

    F level, tolerance, or VIN insufficient for further computation.d.

    Variables in the Analys is

    1,000 24,636

    ,890 30,926 ,855

    ,890 10,339 ,580

    ,861 30,067 ,700

    ,788 14,638 ,526

    ,882 7,168 ,442,723 40,500 ,622

    ,455 28,898 ,521

    ,781 11,357 ,369

    ,570 10,449 ,361

    TAT

    TAT

    DEBTRATIO

    TAT

    DEBTRATIO

    CURTRATIOTAT

    DEBTRATIO

    CURTRATIO

    OPM

    Step

    1

    2

    3

    4

    Tolerance F to Remove

    Wilks'

    Lambda

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    Summary of Canonical Discriminant Functions

    Variables Not in the Analysis

    1,000 1,000 5,752 ,855

    1,000 1,000 4,524 ,883

    1,000 1,000 24,636 ,580

    1,000 1,000 ,017 1,000

    1,000 1,000 8,883 ,793

    1,000 1,000 9,483 ,782

    ,890 ,890 10,339 ,442

    ,996 ,996 3,397 ,526

    ,991 ,991 ,206 ,576

    ,742 ,742 ,161 ,577

    ,821 ,821 ,657 ,569

    ,882 ,788 7,168 ,361

    ,643 ,578 6,328 ,369

    ,461 ,461 2,956 ,404

    ,721 ,658 ,081 ,440

    ,570 ,455 10,449 ,270

    ,410 ,401 6,100 ,301

    ,682 ,608 ,696 ,353

    ,272 ,272 ,384 ,266

    ,375 ,313 2,342 ,250

    DEBTRATIO

    CURTRATIO

    TAT

    OPM

    ROA

    ROE

    DEBTRATIO

    CURTRATIO

    OPM

    ROA

    ROE

    CURTRATIO

    OPM

    ROA

    ROE

    OPM

    ROA

    ROE

    ROA

    ROE

    Step

    0

    1

    2

    3

    4

    Tolerance

    Min.

    Tolerance F to Enter

    Wilks'

    Lambda

    Wilks' Lambda

    1 ,580 1 1 34 24,636 1 34,000 ,000

    2 ,442 2 1 34 20,871 2 33,000 ,000

    3 ,361 3 1 34 18,904 3 32,000 ,000

    4 ,270 4 1 34 20,976 4 31,000 ,000

    Step

    1

    2

    3

    4

    Number of

    Variables Lambda df1 df2 df3 Statistic df1 df2 Sig.

    Exact F

    Eigenvalues

    2,707a 100,0 100,0 ,855Function1 Eigenvalue % of Variance Cumulative %

    Canonical

    Correlation

    First 1 canonical discriminant functions w ere used in the

    analysis.

    a.

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    Wilks' Lam bda

    ,270 41,924 4 ,000

    Test of Function(s)

    1

    Wilks'

    Lambda Chi-square df Sig.

    ndardized Canonical Discr im inant Function Coeff icien

    1,206

    ,686

    -1,036

    ,778

    DEBTRATIO

    CURTRATIO

    TAT

    OPM

    1

    Function

    Structure Matrix

    -,517

    -,380

    ,250

    ,222

    -,121

    ,013

    TAT

    ROAa

    DEBTRATIO

    CURTRATIO

    ROEa

    OPM

    1

    Function

    Pooled w ithin-groups correlations betw een discriminating

    variables and standardized canonical discriminant f unctions

    Variables ordered by absolute size of correlation w ithin functio

    This variable not used in the analysis.a.

    nonical Discrim inant Function Coefficient

    10,887

    ,922

    -2,267

    17,427

    -7,222

    DEBTRATIO

    CURTRATIO

    TAT

    OPM

    (Constant)

    1

    Function

    Unstandardized coefficients

    Functions at Group Centroids

    2,769

    -,923

    BONDRATE

    Non Investment Grade

    Investment Grade

    1

    Function

    Unstandardized canonical discriminant

    functions evaluated at group means

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    Classification Statistics

    NPar Tests

    [DataSet0] C:\Users\PNP\Documents\ffadfad.sav

    Classification Process ing Summ ary

    36

    0

    0

    36

    Processed

    Missing or out-of- range

    group codes

    At leas t one missing

    discriminating variable

    Excluded

    Used in Output

    Prior Probabilities for Groups

    ,500 9 9,000

    ,500 27 27,000

    1,000 36 36,000

    BONDRATE

    Non Investment Grade

    Investment Grade

    Total

    Prior Unw eighted Weighted

    Cases Used in Analysis

    Classification Function Coefficients

    159,977 119,779

    12,597 9,193

    -14,023 -5,651

    281,063 216,717

    -79,850 -49 ,778

    DEBTRATIO

    CURTRATIO

    TAT

    OPM

    (Constant)

    Non

    Investment

    Grade

    Investment

    Grade

    BONDRATE

    Fisher's linear discr iminant func tions

    Descriptive Statistics

    36 ,6122 ,11801 ,41 ,81

    36 1,8289 ,78028 ,83 4,45

    36 1,2369 ,59144 ,31 2,4836 ,0961 ,04403 ,02 ,19

    36 ,0547 ,04896 -,03 ,18

    36 ,1125 ,08254 -,04 ,35

    DEBTRATIO

    CURTRATIO

    TAT

    OPM

    ROA

    ROE

    N Mean Std . Deviation Min imum Max imum

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    One-Sample Kolmogorov-Sm irnov Te st

    36 36 36 36 36 36

    ,6122 1,8289 1,2369 ,0961 ,0547 ,1125

    ,11801 ,78028 ,59144 ,04403 ,04896 ,08254

    ,163 ,117 ,098 ,140 ,150 ,120

    ,163 ,117 ,098 ,140 ,150 ,120

    -,106 -,100 -,091 -,095 -,097 -,097

    ,975 ,702 ,585 ,840 ,897 ,717

    ,298 ,707 ,883 ,480 ,397 ,683

    N

    Mean

    Std. Deviation

    Normal Parameters a,b

    Absolute

    Positive

    Negative

    Most Extreme

    Differences

    Kolmogorov-Smirnov Z

    Asymp. Sig. (2-tailed)

    DEBTRATIO CURTRATIO TA T OPM ROA ROE

    Test distribution is Normal.a.

    Calculated from data.b.