• Analisis Regresi (Q)
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  • Course data
    General
    Announcements
    Learning Plan (RPS)
    Section 1
    Pertemuan 1 : pengenalan Regresi dan review
    Lecturer notes 1
    Section 2
    Meeting 2 : simple linear regression
    Section 3
    Meeting 3: Multiple linear regression
    Multiple linear regression
    Section 4
    Asynchronous session
    Asynchronous 2: how to fit dummy regression in MINITAB
    Part2 dummy regression
    Part 1 : dummy regression
    Dummy Regression
    Section 5
    Discussion on Case Study Regression and Dummy Regression
    Mode Adequacy Checking
    Section 6
    Quiz1
    dataset for quiz
    Soal Quiz
    Section 7
    Diagnostic Check Regression
    Section 8
    Mid Exam (ETS)
    Questions list
    Data ETS
    Meeting 9: Multiple Regression Modelling, Diagnostic Checking, Violation of Assumptions
    Meeting 9: 26 Oct 2021
    Supervisor Performance Data
    Regression Analysis Model Calculation
    Book: Regression Analysis by Example
    Meeting 10: Influential Observation, Multicollinearity, Autocorrelation
    Influential Observation
    Multicollinearity, Autocorrelation
    Meeting 10: Influential Observation, Multicollinearity, Autocorrelation
    Data
    Meeting 11: Non linear regression
    Non linear regression
    Meeting 11: Non linear regression
    Non linear regression: polynomial model
    Meeting 12: Transformation to linearize a non linear relationship
    Homoskedasticity and transformation
    Comparison of linear models
    Meeting 12: Transformation to linearize a non linear relationship
    Meeting 13: Test Discussion
    Meeting 13: Test Discussion
    Remedial
    Meeting 14: Course review, regression with qualitative variables, topics in regression
    Meeting 14: 30 November 2021
    Problem 1
    Assignment 2
    Meeting 15: Robust Regression, Weighted Regression
    Meeting 15: Robust Regression, Weighted Regression
    Meeting 15: Robust Regression, Weighted Regression
    Meeting 16: Final Exam
    Final Exam
    Meeting 16: Final Exam
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    Analisis Regresi (Q)
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    8. Analisis Regresi (Q)
    9. Summary

    Analisis Regresi (Q)

    • Teacher: Heri Kuswanto
    • Teacher: Irhamah

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    Sukolilo | Manyar | Tjokroaminoto
    Kampus Institut Teknologi
    Sepuluh Nopember Surabaya
    Phone: 031-5994251-54, 5947274, 5945472
    Fax: 031-5923465, 5947845

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