Analisis Regresi (K)
0%
Previous
Course data
General
Announcements
Section 1
Main Book
Section 2
Rev-Introduction (Review of Correlation & Regression Analysis)
Assignment-1 (Review of Correlation & Regression Analysis)
Section 4
[05042024] Analysis of Simple Linear (Straight Line) Regression Using OLS Method
Assignment-2
Section 5
[Rev-180424] Analysis of Multiple Linear (Straight Line) Regression Using OLS Method
Assignment-3
Steam Data Set (2 predictors)
Myers Data Set (F Partial and F Sequential Test)
Pie Sales Data Set
Myers Data Set (LoF Test 2 Predictors)
Draper Data Set (LoF Test 1 predictor)
Section 6
Assignment-4 (Partial and Sequential F Test)
Section 7
Presentation & Discussion of Assignment Result
Section 8
Rev_Assignment-1
Rev_Assignment-2
Rev-Assignment-3
Rev_Assiggnment-4
Rev1_Assignment-3
Assignment-5 (Midterm Exam)
Week 9: Multiple Regression with Quantitative and Qualitative Predictors - Part 1
Zoom Online Class Link
Lecture Notes
Assignment (10%): Application of Multiple Regression with Mixed Predictors
Week 10: Multiple Regression with Quantitative and Qualitative Predictors - Part 2
Zoom Online Class Link
Lecture Notes: Multiple Regression with Quantitative and Qualitative Predictors - Part 2
Lecture Noted: Complex Regression Models and Interpretation - Part 1
Week 11: Complex Regression Models and Interpretation
Zoom Online Class Link
Lecture Notes: Complex Regression Models and Interpretation - Part 2
Lecture Notes: Multicollinearity and Polynomial Regression
Assignment (10%): Complex Regression Models and Interpretation
Week 12: Model Selection Techniques
Zoom Online Class Link
Lecture Notes: Model Selection Techniques
Assignment (10%): Model Selection Techniques
Week 13: Nonlinear Regression
Zoom Online Class Link
Lecture Notes: Nonlinear Regression
Section 14
Final Exam (10%): Mini-Project (Presentation)
Zoom Online Class Link
Section 15
Zoom Online Class Link
Section 16
Final Exam (10%): Mini-Project (Written Report)
Next
Side panel
Panduan Dosen
Unduh PDF
[Video] Panduan Membuat Video Asinkronus dengan Power Point
Panduan Mahasiswa
Unduh PDF
Log in
Username
Password
Remember username
Forgot Password?
Log in
Log in using your account on
Don't have an account?
Analisis Regresi (K)
Home
Skip to main content
Course info
Home
Courses
Institut Teknologi Sepuluh Nopember
Sarjana
Fakultas Sains dan Analitika Data
S-1 STATISTIKA KELAS INTERNASIONAL
Semester Genap 2023/2024
Analisis Regresi (K)
Summary
Analisis Regresi (K)
Teacher:
Muhammad Hisyam Lee
Teacher:
Santi Puteri Rahayu