Cross-Tabular Freq Table
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The FREQ Procedure
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The GLM Procedure
Class Level Information | ||
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Class | Levels | Values |
mcg | 6 | 198 205 213 221 223 225 |
Number of Observations Read | 24 |
---|---|
Number of Observations Used | 24 |
The GLM Procedure
Dependent Variable: length10
Source | DF | Sum of Squares | Mean Square | F Value | Pr > F |
---|---|---|---|---|---|
Model | 5 | 52.49177083 | 10.49835417 | 28.81 | <.0001 |
Error | 18 | 6.55812500 | 0.36434028 | ||
Corrected Total | 23 | 59.04989583 |
R-Square | Coeff Var | Root MSE | length10 Mean |
---|---|---|---|
0.888939 | 2.420273 | 0.603606 | 24.93958 |
Source | DF | Type I SS | Mean Square | F Value | Pr > F |
---|---|---|---|---|---|
mcg | 5 | 52.49177083 | 10.49835417 | 28.81 | <.0001 |
Source | DF | Type III SS | Mean Square | F Value | Pr > F |
---|---|---|---|---|---|
mcg | 5 | 52.49177083 | 10.49835417 | 28.81 | <.0001 |
Contrast | DF | Contrast SS | Mean Square | F Value | Pr > F |
---|---|---|---|---|---|
AllBut198 | 4 | 13.90175000 | 3.47543750 | 9.54 | 0.0003 |
The GLM Procedure
Dependent Variable: weight
Source | DF | Sum of Squares | Mean Square | F Value | Pr > F |
---|---|---|---|---|---|
Model | 5 | 0.04792249 | 0.00958450 | 5.81 | 0.0023 |
Error | 18 | 0.02971930 | 0.00165107 | ||
Corrected Total | 23 | 0.07764179 |
R-Square | Coeff Var | Root MSE | weight Mean |
---|---|---|---|
0.617225 | 6.477806 | 0.040633 | 0.627271 |
Source | DF | Type I SS | Mean Square | F Value | Pr > F |
---|---|---|---|---|---|
mcg | 5 | 0.04792249 | 0.00958450 | 5.81 | 0.0023 |
Source | DF | Type III SS | Mean Square | F Value | Pr > F |
---|---|---|---|---|---|
mcg | 5 | 0.04792249 | 0.00958450 | 5.81 | 0.0023 |
Contrast | DF | Contrast SS | Mean Square | F Value | Pr > F |
---|---|---|---|---|---|
AllBut198 | 4 | 0.04585662 | 0.01146415 | 6.94 | 0.0015 |
The GLM Procedure
Multivariate Analysis of Variance
Characteristic Roots and Vectors of: E Inverse * H, where H = Type III SSCP Matrix for mcg E = Error SSCP Matrix |
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---|---|---|---|
Characteristic Root | Percent | Characteristic Vector V'EV=1 | |
length10 | weight | ||
9.71615392 | 85.97 | 0.42673886 | 2.91375733 |
1.58536355 | 14.03 | -0.02469610 | 5.64178530 |
MANOVA Test Criteria and F Approximations for the Hypothesis of No Overall mcg Effect H = Type III SSCP Matrix for mcg E = Error SSCP Matrix S=2 M=1 N=7.5 |
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---|---|---|---|---|---|
Statistic | Value | F Value | Num DF | Den DF | Pr > F |
NOTE: F Statistic for Roy's Greatest Root is an upper bound. | |||||
NOTE: F Statistic for Wilks' Lambda is exact. | |||||
Wilks' Lambda | 0.03609437 | 14.50 | 10 | 34 | <.0001 |
Pillai's Trace | 1.51989014 | 11.40 | 10 | 36 | <.0001 |
Hotelling-Lawley Trace | 11.30151747 | 18.57 | 10 | 22.909 | <.0001 |
Roy's Greatest Root | 9.71615392 | 34.98 | 5 | 18 | <.0001 |
Characteristic Roots and Vectors of: E Inverse * H, where H = Contrast SSCP Matrix for AllBut198 E = Error SSCP Matrix |
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---|---|---|---|
Characteristic Root | Percent | Characteristic Vector V'EV=1 | |
length10 | weight | ||
3.81724843 | 79.68 | 0.38225907 | 4.90580188 |
0.97343897 | 20.32 | -0.19129547 | 4.03148002 |
MANOVA Test Criteria and F Approximations for the Hypothesis of No Overall AllBut198 Effect H = Contrast SSCP Matrix for AllBut198 E = Error SSCP Matrix S=2 M=0.5 N=7.5 |
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Statistic | Value | F Value | Num DF | Den DF | Pr > F |
NOTE: F Statistic for Roy's Greatest Root is an upper bound. | |||||
NOTE: F Statistic for Wilks' Lambda is exact. | |||||
Wilks' Lambda | 0.10519068 | 8.85 | 8 | 34 | <.0001 |
Pillai's Trace | 1.28568299 | 8.10 | 8 | 36 | <.0001 |
Hotelling-Lawley Trace | 4.79068740 | 9.88 | 8 | 22.087 | <.0001 |
Roy's Greatest Root | 3.81724843 | 17.18 | 4 | 18 | <.0001 |
The REG Procedure
Model: MODEL1
Dependent Variable: length10
Number of Observations Read | 24 |
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Number of Observations Used | 24 |
Analysis of Variance | |||||
---|---|---|---|---|---|
Source | DF | Sum of Squares |
Mean Square |
F Value | Pr > F |
Model | 5 | 52.49177 | 10.49835 | 28.81 | <.0001 |
Error | 18 | 6.55813 | 0.36434 | ||
Corrected Total | 23 | 59.04990 |
Root MSE | 0.60361 | R-Square | 0.8889 |
---|---|---|---|
Dependent Mean | 24.93958 | Adj R-Sq | 0.8581 |
Coeff Var | 2.42027 |
Parameter Estimates | |||||
---|---|---|---|---|---|
Variable | DF | Parameter Estimate |
Standard Error |
t Value | Pr > |t| |
Intercept | 1 | 24.93958 | 0.12321 | 202.41 | <.0001 |
fungus1 | 1 | 2.83542 | 0.27551 | 10.29 | <.0001 |
fungus2 | 1 | 0.39792 | 0.27551 | 1.44 | 0.1658 |
fungus3 | 1 | 0.12292 | 0.27551 | 0.45 | 0.6608 |
fungus4 | 1 | -1.98958 | 0.27551 | -7.22 | <.0001 |
fungus5 | 1 | -0.58958 | 0.27551 | -2.14 | 0.0463 |
The REG Procedure
Model: MODEL1
Dependent Variable: weight
Number of Observations Read | 24 |
---|---|
Number of Observations Used | 24 |
Analysis of Variance | |||||
---|---|---|---|---|---|
Source | DF | Sum of Squares |
Mean Square |
F Value | Pr > F |
Model | 5 | 0.04792 | 0.00958 | 5.81 | 0.0023 |
Error | 18 | 0.02972 | 0.00165 | ||
Corrected Total | 23 | 0.07764 |
Root MSE | 0.04063 | R-Square | 0.6172 |
---|---|---|---|
Dependent Mean | 0.62727 | Adj R-Sq | 0.5109 |
Coeff Var | 6.47781 |
Parameter Estimates | |||||
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Variable | DF | Parameter Estimate |
Standard Error |
t Value | Pr > |t| |
Intercept | 1 | 0.62727 | 0.00829 | 75.63 | <.0001 |
fungus1 | 1 | -0.02075 | 0.01855 | -1.12 | 0.2780 |
fungus2 | 1 | 0.05088 | 0.01855 | 2.74 | 0.0134 |
fungus3 | 1 | 0.04093 | 0.01855 | 2.21 | 0.0406 |
fungus4 | 1 | 0.02635 | 0.01855 | 1.42 | 0.1724 |
fungus5 | 1 | -0.07910 | 0.01855 | -4.26 | 0.0005 |
The REG Procedure
Model: MODEL1
Multivariate Test: overall
Multivariate Statistics and F Approximations | |||||
---|---|---|---|---|---|
S=2 M=1 N=7.5 | |||||
Statistic | Value | F Value | Num DF | Den DF | Pr > F |
NOTE: F Statistic for Roy's Greatest Root is an upper bound. | |||||
NOTE: F Statistic for Wilks' Lambda is exact. | |||||
Wilks' Lambda | 0.03609437 | 14.50 | 10 | 34 | <.0001 |
Pillai's Trace | 1.51989014 | 11.40 | 10 | 36 | <.0001 |
Hotelling-Lawley Trace | 11.30151747 | 18.57 | 10 | 22.909 | <.0001 |
Roy's Greatest Root | 9.71615392 | 34.98 | 5 | 18 | <.0001 |
The REG Procedure
Model: MODEL1
Dependent Variable: length10
Number of Observations Read | 24 |
---|---|
Number of Observations Used | 24 |
No intercept in model. R-Square is redefined.
Analysis of Variance | |||||
---|---|---|---|---|---|
Source | DF | Sum of Squares |
Mean Square |
F Value | Pr > F |
Model | 6 | 14980 | 2496.67990 | 6852.60 | <.0001 |
Error | 18 | 6.55813 | 0.36434 | ||
Uncorrected Total | 24 | 14987 |
Root MSE | 0.60361 | R-Square | 0.9996 |
---|---|---|---|
Dependent Mean | 24.93958 | Adj R-Sq | 0.9994 |
Coeff Var | 2.42027 |
Parameter Estimates | |||||
---|---|---|---|---|---|
Variable | DF | Parameter Estimate |
Standard Error |
t Value | Pr > |t| |
mcg198 | 1 | 27.77500 | 0.30180 | 92.03 | <.0001 |
mcg205 | 1 | 25.33750 | 0.30180 | 83.95 | <.0001 |
mcg213 | 1 | 25.06250 | 0.30180 | 83.04 | <.0001 |
mcg221 | 1 | 22.95000 | 0.30180 | 76.04 | <.0001 |
mcg223 | 1 | 24.35000 | 0.30180 | 80.68 | <.0001 |
mcg225 | 1 | 24.16250 | 0.30180 | 80.06 | <.0001 |
The REG Procedure
Model: MODEL1
Dependent Variable: weight
Number of Observations Read | 24 |
---|---|
Number of Observations Used | 24 |
No intercept in model. R-Square is redefined.
Analysis of Variance | |||||
---|---|---|---|---|---|
Source | DF | Sum of Squares |
Mean Square |
F Value | Pr > F |
Model | 6 | 9.49117 | 1.58186 | 958.08 | <.0001 |
Error | 18 | 0.02972 | 0.00165 | ||
Uncorrected Total | 24 | 9.52089 |
Root MSE | 0.04063 | R-Square | 0.9969 |
---|---|---|---|
Dependent Mean | 0.62727 | Adj R-Sq | 0.9958 |
Coeff Var | 6.47781 |
Parameter Estimates | |||||
---|---|---|---|---|---|
Variable | DF | Parameter Estimate |
Standard Error |
t Value | Pr > |t| |
mcg198 | 1 | 0.60653 | 0.02032 | 29.85 | <.0001 |
mcg205 | 1 | 0.67815 | 0.02032 | 33.38 | <.0001 |
mcg213 | 1 | 0.66820 | 0.02032 | 32.89 | <.0001 |
mcg221 | 1 | 0.65363 | 0.02032 | 32.17 | <.0001 |
mcg223 | 1 | 0.54818 | 0.02032 | 26.98 | <.0001 |
mcg225 | 1 | 0.60895 | 0.02032 | 29.97 | <.0001 |
The REG Procedure
Model: MODEL1
Test Overall results | |||||
---|---|---|---|---|---|
Dependent Variable |
Source | DF | Mean Square |
F Value | Pr > F |
length10 | Numerator | 5 | 10.49835 | 28.81 | <.0001 |
Denominator | 18 | 0.36434 | |||
weight | Numerator | 5 | 0.00958 | 5.81 | 0.0023 |
Denominator | 18 | 0.00165 |
The REG Procedure
Model: MODEL1
Multivariate Test: mOverall
Multivariate Statistics and F Approximations | |||||
---|---|---|---|---|---|
S=2 M=1 N=7.5 | |||||
Statistic | Value | F Value | Num DF | Den DF | Pr > F |
NOTE: F Statistic for Roy's Greatest Root is an upper bound. | |||||
NOTE: F Statistic for Wilks' Lambda is exact. | |||||
Wilks' Lambda | 0.03609437 | 14.50 | 10 | 34 | <.0001 |
Pillai's Trace | 1.51989014 | 11.40 | 10 | 36 | <.0001 |
Hotelling-Lawley Trace | 11.30151747 | 18.57 | 10 | 22.909 | <.0001 |
Roy's Greatest Root | 9.71615392 | 34.98 | 5 | 18 | <.0001 |
The REG Procedure
Model: MODEL1
Test AllBut198 results | |||||
---|---|---|---|---|---|
Dependent Variable |
Source | DF | Mean Square |
F Value | Pr > F |
length10 | Numerator | 4 | 3.47544 | 9.54 | 0.0003 |
Denominator | 18 | 0.36434 | |||
weight | Numerator | 4 | 0.01146 | 6.94 | 0.0015 |
Denominator | 18 | 0.00165 |
The REG Procedure
Model: MODEL1
Multivariate Test: mAllBut198
Multivariate Statistics and F Approximations | |||||
---|---|---|---|---|---|
S=2 M=0.5 N=7.5 | |||||
Statistic | Value | F Value | Num DF | Den DF | Pr > F |
NOTE: F Statistic for Roy's Greatest Root is an upper bound. | |||||
NOTE: F Statistic for Wilks' Lambda is exact. | |||||
Wilks' Lambda | 0.10519068 | 8.85 | 8 | 34 | <.0001 |
Pillai's Trace | 1.28568299 | 8.10 | 8 | 36 | <.0001 |
Hotelling-Lawley Trace | 4.79068740 | 9.88 | 8 | 22.087 | <.0001 |
Roy's Greatest Root | 3.81724843 | 17.18 | 4 | 18 | <.0001 |