## Output from cancor.sas

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```                  Canonical correlation (CORR matrix input)                  1
```
```           Univariate Multiple Regression Statistics for Predicting
the Job characteristics from the Satisfaction measures

Squared Multiple Correlations and F Tests
7 numerator df    776 denominator df

Adjusted   Approx 95% CI for RSQ         F
R-Squared   R-Squared   Lower CL      Upper CL   Statistic   Pr > F
```
```X1          0.215223    0.208144      0.159         0.261     30.4023   0.0001
X2          0.175542    0.168105      0.123         0.219     23.6035   0.0001
X3          0.187143    0.179811      0.133         0.232     25.5225   0.0001
X4          0.122267    0.114349      0.076         0.161     15.4423   0.0001
X5          0.233349    0.226434      0.176         0.280     33.7422   0.0001

Average R-Squared:  Unweighted           = 0.186705
Weighted by Variance = 0.186705```

```                  Canonical correlation (CORR matrix input)                  2
```
```           Univariate Multiple Regression Statistics for Predicting
the Satisfaction measures from the Job characteristics

Squared Multiple Correlations and F Tests
5 numerator df    778 denominator df

Adjusted   Approx 95% CI for RSQ         F
R-Squared   R-Squared   Lower CL      Upper CL   Statistic   Pr > F
```
```Y1          0.177626    0.172341      0.127         0.224     33.6084   0.0001
Y2          0.135711    0.130157      0.089         0.178     24.4324   0.0001
Y3          0.048553    0.042438      0.019         0.076      7.9404   0.0001
Y4          0.079464    0.073548      0.042         0.114     13.4320   0.0001
Y5          0.133724    0.128156      0.088         0.176     24.0194   0.0001
Y6          0.203207    0.198086      0.150         0.251     39.6828   0.0001
Y7          0.082532    0.076636      0.045         0.118     13.9972   0.0001

Average R-Squared:  Unweighted           = 0.122974
Weighted by Variance = 0.122974```

```                  Canonical correlation (CORR matrix input)                  3
```
```                        Canonical Correlation Analysis

Canonical      Canonical     Standard     Canonical
Correlation    Correlation     Error      Correlation
```
```           1      0.553706       0.545622     0.024780      0.306591
2      0.236404       0.214497     0.033740      0.055887
3      0.119186        .           0.035229      0.014205
4      0.072228        .           0.035551      0.005217
5      0.057270        .           0.035620      0.003280
```
```                                Eigenvalues of INV(E)*H
= CanRsq/(1-CanRsq)

Eigenvalue    Difference    Proportion    Cumulative
```
```            1       0.4421        0.3830       0.8433        0.8433
2       0.0592        0.0448       0.1129        0.9562
3       0.0144        0.0092       0.0275        0.9837
4       0.0052        0.0020       0.0100        0.9937
5       0.0033         .           0.0063        1.0000
```
```                     Test of H0: The canonical correlations in the
current row and all that follow are zero

Likelihood
Ratio      Approx F      Num DF      Den DF    Pr > F
```
```          1    0.63988477     10.3971          35     3249.94    0.0001
2    0.92280941      2.6186          24    2697.885    0.0001
3    0.97743541      1.1828          15    2137.075    0.2776
4    0.99152030      0.8267           8        1550    0.5790
5    0.99672015      0.8512           3         776    0.4661

```
`                 Multivariate Statistics and F Approximations`

`                            S=5    M=0.5    N=385`

``` Statistic                     Value          F      Num DF    Den DF  Pr > F
```
``` Wilks' Lambda              0.63988477    10.3971        35   3249.94  0.0001
Pillai's Trace             0.38517977     9.2528        35      3880  0.0001
Hotelling-Lawley Trace     0.52428968    11.5404        35      3852  0.0001
Roy's Greatest Root        0.44214935    49.0154         7       776  0.0001

NOTE: F Statistic for Roy's Greatest Root is an upper bound.```

```                  Canonical correlation (CORR matrix input)                  4
```
```                        Canonical Correlation Analysis

Raw Canonical Coefficients for the Job characteristics
```
```                        JOB1              JOB2

X1      0.4217037005      0.3428520819      Feedback
X5      0.4596557262      0.7287240893      Autonomy
```
```
Raw Canonical Coefficients for the Satisfaction measures
```
```                     SAT1              SAT2

Y1      0.4251801045      -0.087992909      Supervisor Satisfaction
Y2      0.2088846933       0.436262871      Career-Future Sat
Y3      -0.035894963      -0.092909718      Financial Satisfaction
Y5      0.2902803477      -0.101101165      Company Satisfaction
Y6      0.5157248004      -0.554289712      Kind-of-work Sat
Y7       -0.11014262      -0.031722209      General Satisfaction
```
```
Standardized Canonical Coefficients for the Job characteristics
```
```                        JOB1          JOB2

X1        0.4217        0.3429      Feedback
X5        0.4597        0.7287      Autonomy
```
```
Standardized Canonical Coefficients for the Satisfaction measures
```
```                     SAT1          SAT2

Y1        0.4252       -0.0880      Supervisor Satisfaction
Y2        0.2089        0.4363      Career-Future Sat
Y3       -0.0359       -0.0929      Financial Satisfaction
Y5        0.2903       -0.1011      Company Satisfaction
Y6        0.5157       -0.5543      Kind-of-work Sat
Y7       -0.1101       -0.0317      General Satisfaction```

```                  Canonical correlation (CORR matrix input)                  5
```
```                             Canonical Structure

Correlations Between the Job characteristics and Their Canonical Variables
```
```                        JOB1          JOB2

X1        0.8293        0.1093      Feedback
X5        0.8606        0.2660      Autonomy
```
```
Correlations Between the Satisfaction measures and Their Canonical Variables
```
```                     SAT1          SAT2

Y1        0.7564        0.0446      Supervisor Satisfaction
Y2        0.6439        0.3582      Career-Future Sat
Y3        0.3872        0.0373      Financial Satisfaction
Y5        0.6532        0.1084      Company Satisfaction
Y6        0.8040       -0.2416      Kind-of-work Sat
Y7        0.5024        0.1628      General Satisfaction
```
```
Correlations Between the Job characteristics and the
Canonical Variables of the Satisfaction measures
```
```                        SAT1          SAT2

X1        0.4592        0.0258      Feedback
X5        0.4765        0.0629      Autonomy
```
```
Correlations Between the Satisfaction measures and
the Canonical Variables of the Job characteristics
```
```                     JOB1          JOB2

Y1        0.4188        0.0105      Supervisor Satisfaction
Y2        0.3565        0.0847      Career-Future Sat
Y3        0.2144        0.0088      Financial Satisfaction
Y5        0.3617        0.0256      Company Satisfaction
Y6        0.4452       -0.0571      Kind-of-work Sat
Y7        0.2782        0.0385      General Satisfaction```

```                  Canonical correlation (CORR matrix input)                  6
```
```                        Canonical Redundancy Analysis

Raw Variance of the Job characteristics
Explained by
Their Own                               The Opposite
Canonical Variables                       Canonical Variables

Cumulative     Canonical                  Cumulative
Proportion    Proportion     R-Squared    Proportion    Proportion
```
```     1        0.5818        0.5818        0.3066        0.1784        0.1784
2        0.1080        0.6898        0.0559        0.0060        0.1844

```
```                  Raw Variance of the Satisfaction measures
Explained by
Their Own                               The Opposite
Canonical Variables                       Canonical Variables

Cumulative     Canonical                  Cumulative
Proportion    Proportion     R-Squared    Proportion    Proportion
```
```     1        0.3721        0.3721        0.3066        0.1141        0.1141
2        0.1222        0.4943        0.0559        0.0068        0.1209

```
```               Standardized Variance of the Job characteristics
Explained by
Their Own                               The Opposite
Canonical Variables                       Canonical Variables

Cumulative     Canonical                  Cumulative
Proportion    Proportion     R-Squared    Proportion    Proportion
```
```     1        0.5818        0.5818        0.3066        0.1784        0.1784
2        0.1080        0.6898        0.0559        0.0060        0.1844```

```                  Canonical correlation (CORR matrix input)                  7
```
```                        Canonical Redundancy Analysis

Standardized Variance of the Satisfaction measures
Explained by
Their Own                               The Opposite
Canonical Variables                       Canonical Variables

Cumulative     Canonical                  Cumulative
Proportion    Proportion     R-Squared    Proportion    Proportion
```
```     1        0.3721        0.3721        0.3066        0.1141        0.1141
2        0.1222        0.4943        0.0559        0.0068        0.1209
```
```
Squared Multiple Correlations Between the Job characteristics and
the First 'M' Canonical Variables of the Satisfaction measures

M              1             2
```
```            X1        0.2109        0.2115      Feedback
X5        0.2271        0.2310      Autonomy
```
```
Squared Multiple Correlations Between the Satisfaction measures
and the First 'M' Canonical Variables of the Job characteristics

M              1             2
```
```         Y1        0.1754        0.1755      Supervisor Satisfaction
Y2        0.1271        0.1343      Career-Future Sat
Y3        0.0460        0.0461      Financial Satisfaction