Detail Pembuatan Model Regresi Linier Berganda untuk Memprediksi Hubungan Antropometri antara Tinggi Badan Anak Perempuan dengan Tinggi Badan Ayah dan Ibu Kandung Etnis Tionghoa di DKI Jakarta, Indonesia Bibliografi Author: APRIA ; Yanto (Advisor) Topik: Multiple regressions; mathematical model; Chinese; analisis linier berganda; model matematis; etnis Tionghoa Bahasa: (ID )     Penerbit: Program Studi Teknik Industri Fakultas Teknik Unika Atma Jaya     Tempat Terbit: Jakarta    Tahun Terbit: 2009     Jenis: Theses - Undergraduate Thesis Fulltext: Apria's Undergraduated Theses.pdf (1.86MB; 208 download) Apria-PENDUKUNG.pdf (26.93KB; 8 download) Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: FTI-476 Non-tandon: tidak ada Tandon: 1  Lihat Detail Induk Abstract The objective of this paper is to create mathematic model which can predict daughter’s stature due to anthropometric relationship between biological parent’s stature and daughter’s stature. The mathematic model has limited for predict daughter’s stature from her biological father dan mother’s stature. This model just can be use for predict daughter’s stature from etnic Chinese whom live in DKI Jakarta. Data collection has done with measurement form. The measurement form is containing about identity data and research data. This research has collected 591 data, comprised by 150 biological father’s data, 150 biological mother’s data, 150 first daughter’s data, 97 second daughter’s data, 44 third daughter’s data. Data processing has done by used soft wares like Minitab and SPSS. The mathematical model has created by Multiple Regressions with 2 factors. The result of this paper is developing mathematical model which can use for predict daughter’s stature from her biological parent’s stature for Chinese family who lived in DKI Jakarta. The formula of mathematical model is. This mathematical model can use for predict daughter’s stature from Chinese family who lived in DKI Jakarta. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! pendapat   Ditulis oleh: KELVIN KURNIA Pada tanggal: 28-04-2015 13:14 skirpsinya bagus , baik untuk refrensi Lihat Sejarah Pengadaan  Konversi Metadata   Kembali

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