output assign 7

output assign 7 - Rocket Datase t 07:36 Fr iday , March 5,...

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Unformatted text preview: Rocket Datase t 07:36 Fr iday , March 5, 2004 1 The GLM Procedure Class Leve l In f o rma t i on Class Leve ls Values ct r 4 A B C D mix 5 1 2 3 4 5 Number of observa t i o ns 20 Rocket Datase t 07:36 Fr iday , March 5, 2004 2 The GLM Procedure Dependent Var iab l e : th rus t Sum of Source DF Squares Mean Square F Value Pr > F Model 7 2679.400000 382.771429 150.11 <.0001 Erro r 12 30.600000 2.550000 Correc t ed Tota l 19 2710.000000 R-Square Coef f Var Root MSE th rus t Mean 0.988708 0.065553 1.596872 2436.000 Source DF Type I I I SS Mean Square F Value Pr > F ct r 3 1802.400000 600.800000 235.61 <.0001 mix 4 877.000000 219.250000 85.98 <.0001 Rocket Datase t 07:36 Fr iday , March 5, 2004 3 The GLM Procedure Source Type I I I Expected Mean Square ct r Var(Er r o r ) + 5 Var(c t r ) mix Var(E r r o r ) + Q(mix ) Rocket Datase t 07:36 Fr iday , March 5, 2004 4 The GLM Procedure Tests of Hypotheses fo r Mixed Model Analys i s of Var iance Dependent Var iab l e : th rus t Source DF Type I I I SS Mean Square F Value Pr > F ct r 3 1802.400000 600.800000 235.61 <.0001 mix 4 877.000000 219.250000 85.98 <.0001 Erro r : MS(Erro r ) 12 30.600000 2.550000 Rocket Datase t 07:36 Fr iday , March 5, 2004 5 Least Squares Means th rus t Standard LSMEAN mix LSMEAN Erro r Pr > | t | Number 1 2435.75000 0.79844 <.0001 1 2 2446.00000 0.79844 <.0001 2 3 2437.75000 0.79844 <.0001 3 4 2425.25000 0.79844 <.0001 4 5 2435.25000 0.79844 <.0001 5 Least Squares Means fo r Ef fec t mix t fo r H0: LSMean( i ) =LSMean( j ) / Pr > | t | Dependent Var i ab l e : th rus t i / j 1 2 3 4 5 1 - 9.07755 - 1.77123 9.298956 0.442807 <.0001 0.1019 <.0001 0.6658 2 9.077553 7.306323 18.37651 9.52036 <.0001 <.0001 <.0001 <.0001 3 1.77123 - 7.30632 11.07019 2.214037 0.1019 <.0001 <.0001 0.0469 4 - 9.29896 - 18.3765 - 11.0702 - 8.85615 <.0001 <.0001 <.0001 <.0001 5 - 0.44281 - 9.52036 - 2.21404 8.856149 0.6658 <.0001 0.0469 <.0001 NOTE: To ensure overa l l pro tec t i o n leve l , only probab i l i t i e s assoc ia t ed wi th pre- planned compar i sons should be used. Rocket Datase t 07:36 Fr iday , March 5, 2004 6 Var iance Components Est imat i o n Procedure Class Leve l In f o rma t i on Class Leve ls Values ct r 4 A B C D mix 5 1 2 3 4 5 Number of observa t i o ns 20 Dependent Var iab l e : th rus t Type 1 Analys i s of Var iance Sum of Source DF Squares Mean Square Expected Mean Square mix 4 877.000000 219.250000 Var(Er r o r ) + Q(mix ) ct r 3 1802.400000 600.800000 Var(Er r o r ) + 5 Var(c t r ) Erro r 12 30.600000 2.550000 Var(E r r o r ) Correc t ed Tota l 19 2710.000000 . . Type 1 Est imates Var iance Component Est imate Var(c t r ) 119.65000 Var(E r r o r ) 2.55000 Rocket Datase t 07:36 Fr iday , March 5, 2004 7 Var iance Components Est imat i o n Procedure Class Leve l In f o rma t i on Class Leve ls Values ct r 4 A B C D mix 5 1 2 3 4 5 Number of observa t i o ns 20 Dependent Var iab l e : th rus t REML I t e r a t i o n s I t e r a t i o n Objec t i v e Var(c t r ) Var(E r r o r )...
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This note was uploaded on 04/09/2008 for the course STAT 503 taught by Professor Steiner during the Spring '05 term at New Mexico.

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output assign 7 - Rocket Datase t 07:36 Fr iday , March 5,...

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