SlideShare a Scribd company logo
1 of 8
NAMA  : ANGGRAENI.P KELAS   : 3D NIM  : 082445 STATISTIK REGRESI TABEL DATA REGRESI  PENGAMATAN TENTANG ADANYA HUBUNGAN DARI KE TIGA NILAI (KIMIA,MATEMATIKA,FISIKA)
KIMIA MATEMATIKA FISIKA 65 70 60 60 85 70 50 78 60 64 83 50 70 85 70 75 60 65 80 79 70 70 75 70 75 80 75 60 76 75 65 77 70 78 75 75 75 70 70 71 80 60 76 80 75 60 75 70 70 80 65 66 75 68 70 70 70 65 72 75 55 80 70 65 80 66 60 73 65 70 72 65 75 70 70 70 88 80 65 85 75 55 70 76 60 70 65 75 85 65
Regression Descriptive Statistics Mean Std. Deviation N MATAMATIKA 73.9333 7.01689 30 FISIKA 68.3333 6.08182 30 KIMIA 67.1667 7.45600 30 Correlations MATAMATIKA FISIKA KIMIA Pearson Correlation MATAMATIKA 1.000 -.427 -.147 FISIKA -.427 1.000 .107 KIMIA -.147 .107 1.000 Sig. (1-tailed) MATAMATIKA . .009 .218 FISIKA .009 . .286 KIMIA .218 .286 . N MATAMATIKA 30 30 30 FISIKA 30 30 30 KIMIA 30 30 30
Variables Entered/Removed b Model Variables Entered Variables Removed Method 1 KIMIA, FISIKA a . Enter a. All requested variables entered. b. Dependent Variable: MATAMATIKA Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1 .439 a .193 .133 6.53409 2.592 a. Predictors: (Constant), KIMIA, FISIKA b. Dependent Variable: MATAMATIKA ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 275.119 2 137.560 3.222 .056 a Residual 1152.747 27 42.694 Total 1427.867 29 a. Predictors: (Constant), KIMIA, FISIKA b. Dependent Variable: MATAMATIKA
Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF 1 (Constant) 113.213 16.671 6.791 .000 FISIKA -.480 .201 -.416 -2.391 .024 .988 1.012 KIMIA -.097 .164 -.103 -.591 .560 .988 1.012 a. Dependent Variable: MATAMATIKA Collinearity Diagnostics a Model Dimension Eigenvalue Condition Index Variance Proportions (Constant) FISIKA KIMIA 1 1 2.988 1.000 .00 .00 .00 2 .009 18.277 .02 .30 .79 3 .003 30.049 .98 .70 .21 a. Dependent Variable: MATAMATIKA
Charts
 
 

More Related Content

What's hot

Obj. 10 Geometric Proof
Obj. 10 Geometric ProofObj. 10 Geometric Proof
Obj. 10 Geometric Proofsmiller5
 
Metric Powerpoint Set
Metric Powerpoint SetMetric Powerpoint Set
Metric Powerpoint SetMrs. Henley
 
Ge 105 lecture 1 (LEAST SQUARES ADJUSTMENT) by: Broddett B. Abatayo
Ge 105 lecture 1 (LEAST SQUARES ADJUSTMENT) by: Broddett B. AbatayoGe 105 lecture 1 (LEAST SQUARES ADJUSTMENT) by: Broddett B. Abatayo
Ge 105 lecture 1 (LEAST SQUARES ADJUSTMENT) by: Broddett B. AbatayoBPA ABATAYO Land Surveying Services
 
Lecture 2 errors and uncertainty
Lecture 2 errors and uncertaintyLecture 2 errors and uncertainty
Lecture 2 errors and uncertaintySarhat Adam
 
Quantities in mechanics
Quantities in mechanicsQuantities in mechanics
Quantities in mechanicsstyllo77
 

What's hot (8)

Obj. 10 Geometric Proof
Obj. 10 Geometric ProofObj. 10 Geometric Proof
Obj. 10 Geometric Proof
 
Units Conversion
Units ConversionUnits Conversion
Units Conversion
 
Vectors
VectorsVectors
Vectors
 
Metric Powerpoint Set
Metric Powerpoint SetMetric Powerpoint Set
Metric Powerpoint Set
 
Ge 105 lecture 1 (LEAST SQUARES ADJUSTMENT) by: Broddett B. Abatayo
Ge 105 lecture 1 (LEAST SQUARES ADJUSTMENT) by: Broddett B. AbatayoGe 105 lecture 1 (LEAST SQUARES ADJUSTMENT) by: Broddett B. Abatayo
Ge 105 lecture 1 (LEAST SQUARES ADJUSTMENT) by: Broddett B. Abatayo
 
Lecture 2 errors and uncertainty
Lecture 2 errors and uncertaintyLecture 2 errors and uncertainty
Lecture 2 errors and uncertainty
 
Final Report
Final ReportFinal Report
Final Report
 
Quantities in mechanics
Quantities in mechanicsQuantities in mechanics
Quantities in mechanics
 

Viewers also liked

ANGGRAENI PURWANINGSIH
ANGGRAENI PURWANINGSIHANGGRAENI PURWANINGSIH
ANGGRAENI PURWANINGSIHanggraeni
 
ANGGRAENI PURWANINGSIH
ANGGRAENI PURWANINGSIHANGGRAENI PURWANINGSIH
ANGGRAENI PURWANINGSIHanggraeni
 
зайны хичээл1
зайны хичээл1 зайны хичээл1
зайны хичээл1 iho1107
 
7 8-r angi oros hel tsahim hicheel unur-erdene
7 8-r angi oros hel tsahim hicheel unur-erdene7 8-r angi oros hel tsahim hicheel unur-erdene
7 8-r angi oros hel tsahim hicheel unur-erdenesaixana
 
Моя семья
Моя семьяМоя семья
Моя семьяolganach
 
8 р анги хичээл 1
8 р анги хичээл 18 р анги хичээл 1
8 р анги хичээл 1monhtsetseg97
 
добропожалуйте, ребята!
добропожалуйте, ребята!добропожалуйте, ребята!
добропожалуйте, ребята!sain2012
 
орхон аймгийн бугс Xiv сургуулийн орос хэлний багш
орхон аймгийн                       бугс Xiv сургуулийн орос хэлний багшорхон аймгийн                       бугс Xiv сургуулийн орос хэлний багш
орхон аймгийн бугс Xiv сургуулийн орос хэлний багшMunkhbold Ganbold
 
орос хэлний тест. 8 9
орос хэлний тест. 8 9орос хэлний тест. 8 9
орос хэлний тест. 8 9monhtsetseg97
 

Viewers also liked (12)

ANGGRAENI PURWANINGSIH
ANGGRAENI PURWANINGSIHANGGRAENI PURWANINGSIH
ANGGRAENI PURWANINGSIH
 
ANGGRAENI PURWANINGSIH
ANGGRAENI PURWANINGSIHANGGRAENI PURWANINGSIH
ANGGRAENI PURWANINGSIH
 
зайны хичээл1
зайны хичээл1 зайны хичээл1
зайны хичээл1
 
7 8-r angi oros hel tsahim hicheel unur-erdene
7 8-r angi oros hel tsahim hicheel unur-erdene7 8-r angi oros hel tsahim hicheel unur-erdene
7 8-r angi oros hel tsahim hicheel unur-erdene
 
Моя семья
Моя семьяМоя семья
Моя семья
 
8 р анги хичээл 1
8 р анги хичээл 18 р анги хичээл 1
8 р анги хичээл 1
 
добропожалуйте, ребята!
добропожалуйте, ребята!добропожалуйте, ребята!
добропожалуйте, ребята!
 
орхон аймгийн бугс Xiv сургуулийн орос хэлний багш
орхон аймгийн                       бугс Xiv сургуулийн орос хэлний багшорхон аймгийн                       бугс Xiv сургуулийн орос хэлний багш
орхон аймгийн бугс Xiv сургуулийн орос хэлний багш
 
орос хэлний тест. 8 9
орос хэлний тест. 8 9орос хэлний тест. 8 9
орос хэлний тест. 8 9
 
Орос хэлний хичээл
Орос хэлний хичээлОрос хэлний хичээл
Орос хэлний хичээл
 
орос хэлний хичээл 2
орос хэлний хичээл 2орос хэлний хичээл 2
орос хэлний хичээл 2
 
орос хэл
орос хэлорос хэл
орос хэл
 

Similar to ANGGRAENI PURWANINGSIH

iim hariyati
iim hariyatiiim hariyati
iim hariyatianggraeni
 
DESTI HERMAYASA
DESTI HERMAYASADESTI HERMAYASA
DESTI HERMAYASAanggraeni
 
Session 6.5 chemicall attributes of silvopastoral systems brazilian savanna
Session 6.5 chemicall attributes of silvopastoral systems brazilian savannaSession 6.5 chemicall attributes of silvopastoral systems brazilian savanna
Session 6.5 chemicall attributes of silvopastoral systems brazilian savannaWorld Agroforestry (ICRAF)
 
Econometrics project mcom and mphill
Econometrics project  mcom and mphillEconometrics project  mcom and mphill
Econometrics project mcom and mphilljunaidsuri
 
D041114862
D041114862D041114862
D041114862IOSR-JEN
 
Optimization of parameters affecting the performance of passive solar distill...
Optimization of parameters affecting the performance of passive solar distill...Optimization of parameters affecting the performance of passive solar distill...
Optimization of parameters affecting the performance of passive solar distill...IOSR Journals
 
1.0 Physical Quantities and Measurement
1.0 Physical Quantities and Measurement1.0 Physical Quantities and Measurement
1.0 Physical Quantities and MeasurementYusri Yusop
 
InstructionsView CAAE Stormwater video Too Big for Our Ditches.docx
InstructionsView CAAE Stormwater video Too Big for Our Ditches.docxInstructionsView CAAE Stormwater video Too Big for Our Ditches.docx
InstructionsView CAAE Stormwater video Too Big for Our Ditches.docxdirkrplav
 
Multiple regression in spss
Multiple regression in spssMultiple regression in spss
Multiple regression in spssDr. Ravneet Kaur
 
Enflasyon forecast
Enflasyon forecastEnflasyon forecast
Enflasyon forecastmesut bayhan
 
Stanford 2009
Stanford 2009Stanford 2009
Stanford 2009ufrj
 

Similar to ANGGRAENI PURWANINGSIH (20)

iim hariyati
iim hariyatiiim hariyati
iim hariyati
 
DESTI HERMAYASA
DESTI HERMAYASADESTI HERMAYASA
DESTI HERMAYASA
 
Session 6.5 chemicall attributes of silvopastoral systems brazilian savanna
Session 6.5 chemicall attributes of silvopastoral systems brazilian savannaSession 6.5 chemicall attributes of silvopastoral systems brazilian savanna
Session 6.5 chemicall attributes of silvopastoral systems brazilian savanna
 
Smt 6
Smt 6Smt 6
Smt 6
 
Teory of errors
Teory of errorsTeory of errors
Teory of errors
 
Econometrics project mcom and mphill
Econometrics project  mcom and mphillEconometrics project  mcom and mphill
Econometrics project mcom and mphill
 
D041114862
D041114862D041114862
D041114862
 
Central tedancy & correlation project - 2
Central tedancy & correlation project - 2Central tedancy & correlation project - 2
Central tedancy & correlation project - 2
 
Optimization of parameters affecting the performance of passive solar distill...
Optimization of parameters affecting the performance of passive solar distill...Optimization of parameters affecting the performance of passive solar distill...
Optimization of parameters affecting the performance of passive solar distill...
 
Vector Error Correction Model
Vector Error Correction ModelVector Error Correction Model
Vector Error Correction Model
 
1.0 Physical Quantities and Measurement
1.0 Physical Quantities and Measurement1.0 Physical Quantities and Measurement
1.0 Physical Quantities and Measurement
 
InstructionsView CAAE Stormwater video Too Big for Our Ditches.docx
InstructionsView CAAE Stormwater video Too Big for Our Ditches.docxInstructionsView CAAE Stormwater video Too Big for Our Ditches.docx
InstructionsView CAAE Stormwater video Too Big for Our Ditches.docx
 
Multiple regression in spss
Multiple regression in spssMultiple regression in spss
Multiple regression in spss
 
Regresi output
Regresi outputRegresi output
Regresi output
 
Enflasyon forecast
Enflasyon forecastEnflasyon forecast
Enflasyon forecast
 
SQC Project 01
SQC Project 01SQC Project 01
SQC Project 01
 
KalmanForecast
KalmanForecastKalmanForecast
KalmanForecast
 
Stanford 2009
Stanford 2009Stanford 2009
Stanford 2009
 
B h curve-1
B h curve-1B h curve-1
B h curve-1
 
Regression analysis
Regression analysisRegression analysis
Regression analysis
 

ANGGRAENI PURWANINGSIH

  • 1. NAMA : ANGGRAENI.P KELAS : 3D NIM : 082445 STATISTIK REGRESI TABEL DATA REGRESI PENGAMATAN TENTANG ADANYA HUBUNGAN DARI KE TIGA NILAI (KIMIA,MATEMATIKA,FISIKA)
  • 2. KIMIA MATEMATIKA FISIKA 65 70 60 60 85 70 50 78 60 64 83 50 70 85 70 75 60 65 80 79 70 70 75 70 75 80 75 60 76 75 65 77 70 78 75 75 75 70 70 71 80 60 76 80 75 60 75 70 70 80 65 66 75 68 70 70 70 65 72 75 55 80 70 65 80 66 60 73 65 70 72 65 75 70 70 70 88 80 65 85 75 55 70 76 60 70 65 75 85 65
  • 3. Regression Descriptive Statistics Mean Std. Deviation N MATAMATIKA 73.9333 7.01689 30 FISIKA 68.3333 6.08182 30 KIMIA 67.1667 7.45600 30 Correlations MATAMATIKA FISIKA KIMIA Pearson Correlation MATAMATIKA 1.000 -.427 -.147 FISIKA -.427 1.000 .107 KIMIA -.147 .107 1.000 Sig. (1-tailed) MATAMATIKA . .009 .218 FISIKA .009 . .286 KIMIA .218 .286 . N MATAMATIKA 30 30 30 FISIKA 30 30 30 KIMIA 30 30 30
  • 4. Variables Entered/Removed b Model Variables Entered Variables Removed Method 1 KIMIA, FISIKA a . Enter a. All requested variables entered. b. Dependent Variable: MATAMATIKA Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1 .439 a .193 .133 6.53409 2.592 a. Predictors: (Constant), KIMIA, FISIKA b. Dependent Variable: MATAMATIKA ANOVA b Model Sum of Squares df Mean Square F Sig. 1 Regression 275.119 2 137.560 3.222 .056 a Residual 1152.747 27 42.694 Total 1427.867 29 a. Predictors: (Constant), KIMIA, FISIKA b. Dependent Variable: MATAMATIKA
  • 5. Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF 1 (Constant) 113.213 16.671 6.791 .000 FISIKA -.480 .201 -.416 -2.391 .024 .988 1.012 KIMIA -.097 .164 -.103 -.591 .560 .988 1.012 a. Dependent Variable: MATAMATIKA Collinearity Diagnostics a Model Dimension Eigenvalue Condition Index Variance Proportions (Constant) FISIKA KIMIA 1 1 2.988 1.000 .00 .00 .00 2 .009 18.277 .02 .30 .79 3 .003 30.049 .98 .70 .21 a. Dependent Variable: MATAMATIKA
  • 7.  
  • 8.