Deskripsi matakuliah 
   Mempelajari :
   Analisis regresi linear sederhana
   Analisis regresi linear berganda
   Asumsi-asumsi dalam regresi
   Estimasi koefisien dan persamaan regresi
   Inferensi dan interpretasi dalam regresi
   Analisis variansi pada regresi
   Pendekatan matriks dalam analisis regresi
   Jumlah kuadrat ekstra
   Analisis korelasi
   Regresi  lain (regresi polinomial, regresi 
      dummy,regresi logistik, regresi PLS)
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   Referensi 
   Neter, John. 1990. Applied Linear Statistical Models : 
      Regression, Analysis of Variance, and Experimental 
      Design . Irwin : Boston
   Model linier terapan I dan II (terjemahan)
      Sumantri, B. (1997). Model Linear Terapan, Buku I. 
      Jurusan Statistika: FMIPA IPB
      Sumantri, B. (1997). Model Linear Terapan, Buku II. 
      Jurusan Statistika: FMIPA IPB
   Myers, R.H. (1996). Classical and Modern Regression with 
      Applications. Boston : PWS-KENT Publishing Company
   Sembiring. (1995). Analisis Regresi , Bandung : ITB
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   Kontrak perkuliahan
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   Intro…
     Why study statistics?
     Make decision without complete informations
     Understanding population, sample
     Parameter, statistic
     Descriptive and inferential statistics
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   glossary
   A population is the collection of all items of interest or 
       under investigation
            N represents the population size
   A sample is an observed subset of the population
            n represents the sample size
   A parameter is a specific characteristic of a population
        Mean, Variance, Standard Deviation, Proportion, etc.
   A statistic is a specific characteristic of a sample
        Mean, Variance, Standard Deviation, Proportion, etc.
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