Lita Novia Sari
Nama : Lita Novia Sari
Nim : 201532017
Analisis Regresi sesi 02
Latihan Analisis Regresi Hal 85-88
1. Pelajari data dibawah ini, tentukan dependen dan independent variabel serta
• Hitung Sum of Square for Regression (X)
• Hitung Sum of Square for Residual
• Hitung Means Sum of Square for Regression (X)
• Hitung Means Sum of Square for Residual
• Hitung nilai F dan buat kesimpulan
|UM |
|Model |Variables Entered |Variables Removed |Method |
|1 |UMURb |. |Enter |
|a. Dependent Variable: CHOLESTEROL |
|b. All requested variables entered. |
|Model Summary |
|Model |R |R Square |Adjusted R Square |Std. Error of the |
| | | | |Estimate |
|1 |.151a |.023 |.000 |25.514 |
|a. Predictors: (Constant), UMUR |
|ANOVAa |
|Model |
|b. Predictors: (Constant), UMUR |
|Coefficientsa |
|Model |Unstandardized Coefficients |Standardized |t |Sig. |
| | |Coefficients | | |
| |B |Std. Error |Beta |
Sum of Square Total adalah
[pic]
• Sum of Square Residual adalah
[pic]
• Sum of Square Regression adalah
[pic]
Mean Sum of Square Regression
[pic]
Mean Sum of Square Residul
[pic]
• F = MS-Regr/MS-Resd = 655,625/650,949 = 1,007
Liat Tabel F dengan nomerator = 1 dan denomerator = 43, nilainya adalah 4,07
Nilai = 1,007 < = 4,07 , nilai p = 4,07 , nilai p = 4,38 , nilai p ................
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