By paidi hidayat dept ep usu estimator slope 2 i i i

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By : Paidi Hidayat Dept EP USU Estimator Slope 2 i i i 1 2 i i i 1 2 i 2 i i i i i 1 y ˆ X X Y Y X X ˆ X X n Y X Y X n ˆ x x Y rata - rata nilai Y ; Y Y y X rata - rata nilai X ; X X Dimana i i i i x
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By : Paidi Hidayat Dept EP USU Estimator Intercept X ˆ - Y ˆ n X ˆ n Y ˆ X X n Y X X Y X ˆ 1 0 i 1 i 0 2 i 2 i i i i i 2 i 0 Y rata - rata nilai Y ; Y Y y X rata - rata nilai X ; X X Dimana i i i i x
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By : Paidi Hidayat Dept EP USU Standard error digunakan untuk mengukur ketepatan estimasi dari estimator intercept dan slope. Standard Error 2 i 2 1 1 2 i 2 1 2 2 i 2 i 0 0 2 2 i 2 i 0 ˆ Var ˆ Se ˆ Var n X ˆ Var ˆ Se n X ˆ Var x x x x k - n e ˆ ˆ 2 i 2
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By : Paidi Hidayat Dept EP USU Contoh Kasus
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By : Paidi Hidayat Dept EP USU Garis Regresi
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By : Paidi Hidayat Dept EP USU Residual Plot
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By : Paidi Hidayat Dept EP USU Perhitungan
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By : Paidi Hidayat Dept EP USU Garis Regresi Var (b i ) ^  2 ^
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By : Paidi Hidayat Dept EP USU R-Squared { R 2 } 8683 , 0 R 394 8909 , 51 1 Y Y e ˆ 1 R Y Y e ˆ 1 R 2 2 i 2 i 2 2 i 2 i 2 Koefisien Korelasi { r }  9318 , 0 394 51562 4200 2 i 2 i i i r y x y x r 8683 , 0 2 r r r
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By : Paidi Hidayat Dept EP USU Koefisien Determinasi (R²) 1. Koefisien Determinasi (R 2 ) merupakan suatu ukuran yang penting dalam regresi karena dapat mengimformasikan baik atau tidaknya model regresi yang terestimasi. 2. Koefisien Determinasi (R 2 ) mencerminkan seberapa besar variasi dari variabel terikat dapat diterangkan oleh semua variabel bebas. 3. Pada umumnya data cross-section mempunyai koefisien determinasi yang lebih rendah dibandingkan dengan data time series.
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By : Paidi Hidayat Dept EP USU Jika semua data terletak pada garis regresi atau dengan kata lain semua nilai residual adalah nol maka garis regresi tersebut adalah sempurna tetapi garis regresi yang sempurna itu jarang terjadi (goodness of fit).
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