Linear regression equations

Linear regression equations

Bachelor of Business Studies (BBS) — First Year

Subject: Business Statistics (MGT 202)

Unit 6: Simple Correlation and Regression Analysis

Academic Year: 2083/84

Topic Objectives

After studying this topic, students should be able to:

• Explain the scope and key elements of linear regression equations.
• Select suitable statistical procedures, carry out calculations and interpret business results.

Curriculum Scope

• Simple linear equations, including bivariate frequency distributions
• Properties of regression coefficients

Detailed Microsyllabus

1. Linear regression equations

   1. Regression of one variable on another and the reverse relationship.
   2. Calculate coefficients and constants.
   3. Use bivariate frequency summaries where prescribed.

2. Properties and prediction

   1. Relations among regression coefficients and correlation.
   2. Interpret estimated values and coefficient signs.
   3. Recognize extrapolation risk and the role of unexplained variation.

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Curriculum reference: Tribhuvan University, Faculty of Management, BBS curriculum with first-year syllabus, PDF pages 14-16.

Source note: The curriculum scope above is retained from the existing TU syllabus breakdown. The numbered study subtopics are editorial elaborations for teaching and study, rather than a separately issued TU syllabus. Unit lecture hours apply to the whole unit; no separate topic hours or marks are assigned here.