regresi antioksidan
DESCRIPTION
Regresi antioksidanTRANSCRIPT
Vitamin C
Regression
Variables Entered/Removedb
konsentrasi
a . Enter
Model1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: peredamanb.
Model Summary
,951a ,904 ,871 1,64901Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), konsentrasia.
ANOVAb
76,446 1 76,446 28,113 ,013a
8,158 3 2,719
84,604 4
Regression
Residual
Total
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), konsentrasia.
Dependent Variable: peredamanb.
Coefficientsa
48,770 1,246 39,127 ,000
,055 ,010 ,951 5,302 ,013
(Constant)
konsentrasi
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: peredamana.
Pisang Kepok Pengeringan diangin-anginkan
Regression
Variables Entered/Removedb
konsentrasi
a . Enter
Model1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: peredamanb.
Model Summary
,996a ,991 ,988 ,29828Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), konsentrasia.
ANOVAb
29,885 1 29,885 335,892 ,000a
,267 3 ,089
30,152 4
Regression
Residual
Total
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), konsentrasia.
Dependent Variable: peredamanb.
Coefficientsa
47,665 ,225 211,405 ,000
,034 ,002 ,996 18,327 ,000
(Constant)
konsentrasi
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: peredamana.
Pisang Kepok Pengeringan diangin-anginkan
Regression
Variables Entered/Removedb
konsentrasi
a . Enter
Model1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: peredamanb.
Model Summary
,984a ,969 ,958 ,56718Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), konsentrasia.
ANOVAb
30,002 1 30,002 93,262 ,002a
,965 3 ,322
30,967 4
Regression
Residual
Total
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), konsentrasia.
Dependent Variable: peredamanb.
Coefficientsa
47,334 ,429 110,407 ,000
,034 ,004 ,984 9,657 ,002
(Constant)
konsentrasi
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: peredamana.
Pengeringan diangin-anginkan
Regression
Variables Entered/Removedb
konsentrasi
a . Enter
Model1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: peredamanb.
Model Summary
,984a ,969 ,959 ,56643Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), konsentrasia.
ANOVAb
30,227 1 30,227 94,212 ,002a
,963 3 ,321
31,189 4
Regression
Residual
Total
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), konsentrasia.
Dependent Variable: peredamanb.
Coefficientsa
47,312 ,428 110,502 ,000
,034 ,004 ,984 9,706 ,002
(Constant)
konsentrasi
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: peredamana.
Dioven
Regression
Variables Entered/Removedb
konsentrasi
a . Enter
Model1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: peredamanb.
Model Summary
,996a ,991 ,988 ,29828Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), konsentrasia.
ANOVAb
29,885 1 29,885 335,892 ,000a
,267 3 ,089
30,152 4
Regression
Residual
Total
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), konsentrasia.
Dependent Variable: peredamanb.
Coefficientsa
47,665 ,225 211,405 ,000
,034 ,002 ,996 18,327 ,000
(Constant)
konsentrasi
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: peredamana.
Vitamin C
Regression
Variables Entered/Removedb
konsentrasi
a . Enter
Model1
VariablesEntered
VariablesRemoved Method
All requested variables entered.a.
Dependent Variable: peredamanb.
Model Summary
,951a ,904 ,871 1,64901Model1
R R SquareAdjustedR Square
Std. Error ofthe Estimate
Predictors: (Constant), konsentrasia.
ANOVAb
76,446 1 76,446 28,113 ,013a
8,158 3 2,719
84,604 4
Regression
Residual
Total
Model1
Sum ofSquares df Mean Square F Sig.
Predictors: (Constant), konsentrasia.
Dependent Variable: peredamanb.
Coefficientsa
48,770 1,246 39,127 ,000
,055 ,010 ,951 5,302 ,013
(Constant)
konsentrasi
Model1
B Std. Error
UnstandardizedCoefficients
Beta
StandardizedCoefficients
t Sig.
Dependent Variable: peredamana.