Analisis Regresi Upload

[object Object],[object Object],[object Object],[object Object],Definisi Analisis Regresi

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Langkah-langkah dalam Pemodelan Regresi

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Model Regresi Linier Sederhana

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Analisis Regresi Linier Berganda

[object Object],Analisis Varians Sumber variasi Derajat Bebas Jumlah Kuadrat (SS) Kuadrat Tengah (MS) Karena regresi 1 b 1 S xy Karena error n-2 Total n-1

Pengujian Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],Koefisien Determinasi

[object Object],Analisis Residuals Uji Gletser Hipotesis: H 0 :  I 2 =  2 2 =…=   n ( tidak ada heteroskedatisitas) H 1 : minimal ada 1   i ≠   j (terjadi heteroskedatisitas) Statistik uji : F hit = Daerah Kritis : Tolak H 0 jika |F hit |>F  n-2 Asumsi Pemeriksaan Plot Pengujian hipotesis Identik e i terhadap ŷ i Uji gletser Independen e i terhadap i Uji durbin Watson Distribusi normal ρ i terhadap e i Kolmogorov smirnov

Uji Durbin-Watson hipotesis : H 0 : ρ i = 0 (tidak ada otokorelasi) H 1 : ρ i = 0 (terjadi otokorelasi) Statistik uji : ,[object Object],[object Object],[object Object],[object Object],Uji Kolmogorov-Smirnov Hipotesis : H 0 : Residual data berdistribusi normal H 1 : Residual data tidak berdistribusi normal Statistik uji : D = sup |F n (x)-F 0 (x)| Daerah kritis : Tolak H 0 jika p-value < α

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