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Regresi Linier

Regresi Linier. Fungsi : Mempelajari pengaruh variabel independen (bebas) terhadap variabel dependen (tergantung) Jenis : 1. RL Sederhana : - satu var. tergantung - satu var. bebas 2. RL Ganda : - satu var. tergantung

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Regresi Linier

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  1. Regresi Linier Fungsi : Mempelajari pengaruh variabel independen (bebas) terhadap variabel dependen (tergantung) Jenis : 1. RL Sederhana : - satu var. tergantung - satu var. bebas 2. RL Ganda : - satu var. tergantung - var. bebas lebih dari satu

  2. Regresi Linier Sederhana Bentuk Pengaruh : X (var. bebas) Y (var. tergantung) Syarat : 1. Data berskala minimal interval 2. Data berdistribusi normal

  3. Persamaan Regresi Persamaan Regresi : Y = 0 + 1 X atau

  4. Koefisien Regresi Dimana :

  5. Uji Kemaknaan Model Hipotesis : H0 : model tidak fit / cocok H1 : model fit / cocok

  6. Uji Kemaknaan Model Dimana : JKT = JKR = JKS = JKT - JKR KTR = JKR/k KTS = JKS /(n-k-1) n = banyaknya data k = banyaknya var. bebas

  7. Uji Kemaknaan Model Pengambilan keputusan : Untuk menarik kesimpulan (apakah H0 diterima atau ditolak ), digunakan tabel-Fdengan derajat bebas (k,(n-k-1)) dan tingkat signifikansi . H0 ditolak, jika : Fhit > Ftabel

  8. Uji Kemaknaan Koefisien Regresi Untuk b0 Hipotesis : H0 : 0 = 0 H1 : 0  0 Dimana : db = db sisa s =  KTS

  9. Uji Kemaknaan Koefisien Regresi Untuk b1 Hipotesis : H0 : 1 = 0 H1 : 1  0 Dimana : db = db sisa s =  KTS

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