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MST 017 Applied Regression Analysis | IN-DEPTH STUDY GUIDE for IGNOU

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MST 017 Applied Regression Analysis | IN-DEPTH STUDY GUIDE for IGNOU

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This comprehensive guide on Applied Regression Analysis provides detailed insights and practical applications, essential for MSCAST students to master regression techniques and excel in their coursework and exams.
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  • In-depth coverage of simple and multiple regression.
  • Detailed analysis of regression diagnostics.
  • Practical examples and real-world applications.
  • Complete alignment with the IGNOU syllabus for thorough preparation.
Category : MASTER‘S DEGREE PROGRAMMES
Sub Category : Master of Science (Applied Statistics) (MSCAST)
Products Code : MSCAST-MST-S2-5.51
HSN Code : 490110
Language : English
Author : BMAP EDUSERVICES PVT LTD
Publisher : BMAP EDUSERVICES PVT LTD
University : IGNOU (Indira Gandhi National Open University)
Pages : 300
Weight : 199 GM
Dimensions : 21.0 x 29.7 cm (A4 Size Pages)



Details

The study guide for MST 017 is meticulously designed to provide an extensive understanding of applied regression analysis, crucial for students pursuing the Master of Science (Applied Statistics) (MSCAST). The guide covers:

  • Simple and Multiple Regression: Detailed examination of regression techniques, including simple linear regression, multiple regression, and polynomial regression, with practical examples.
  • Regression Diagnostics: Comprehensive analysis of diagnostic methods to assess the validity and reliability of regression models, including residual analysis, multicollinearity, and influence diagnostics.
  • Practical Applications: Numerous practical examples and case studies that illustrate the application of regression techniques in real-world scenarios, enhancing practical understanding.
  • Syllabus Coverage: The guide aligns with the complete IGNOU syllabus, ensuring students are well-prepared for their exams with all necessary topics included.

Benefits:

  • Enhanced Understanding: Detailed explanations of both simple and multiple regression ensure a thorough grasp of the concepts.
  • Exam Preparation: Comprehensive syllabus coverage helps students prepare effectively for exams.
  • Practical Skills: Real-world examples and case studies enhance practical understanding and application of regression techniques.
  • Convenience: With around 300-350 pages, the guide is extensive yet manageable, making it an ideal resource for study and revision.

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