How to Carry Out Regression & Optimisation
How to Carry Out Regression & Optimisation
Seminar

How to Carry Out Regression & Optimisation

$50.00
All modules delivered online
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Part-time study

Food and agribusiness professionals working across functions like marketing, operations and supply chain are faced with multiple problems in their domain of work which requires application of appropriate analytical techniques. Lack of knowledge and confidence in using such tools may hinder decision-making resulting in ad-hoc or sub-optimal solutions. Hence, it is an imperative that graduates and young executives get acquainted with analytical techniques and develop confidence in using them in the appropriate business context.

Program Title How to Carry Out Regression & Optimisation
Course Type Seminar

Food and agribusiness professionals working across functions like marketing, operations and supply chain are faced with multiple problems in their domain of work which requires application of appropriate analytical techniques. Lack of knowledge and confidence in using such tools may hinder decision-making resulting in ad-hoc or sub-optimal solutions. Hence, it is an imperative that graduates and young executives get acquainted with analytical techniques and develop confidence in using them in the appropriate business context.

By completing this webinar, you will be able to gain a practical understanding of Regression & Optimization tools used in Data Analysis.

SUPPLEMENTARY DOCUMENTS (DOWNLOADABLE)

  • Case Scenario with Knowledge Boosters (PDF)
  • t- Test Example (Excel)
  • Linear Programming Example (Excel)
  • ANOVA example (Excel)
  • Regression Analysis (Excel)

MODULAR VIDEOS

  • Introduction to the Session (01:04)
  • Hypothesis Testing (05:11)
  • What is Regression? (04:06)
  • Basics of regression (03:33)
  • Steps in Performing Regression (03:38)
  • Validation & Multicollinearity (04:32)
  • Dealing with Multicollinearity (03:29)
  • Building a Regression Model (04:05)
  • Building an Alternate Regression Model (04:18)
  • What is Linear Programming? (03:07)
  • Understanding a Linear Programming Model (03:30)
  • Breaking Down Linear Programming (02:32)
  • Formulating a Linear Program (02:04)
  • Solving a Problem with Linear Programming (05:07)
  • Solving a Problem with ANOVA (02:43)

DISCUSSION ELEMENTS

  • Discussion - Regression in Agriculture (04:03)
  • Discussion - Applications of Non-linear Programming in Agriculture (01:38)
  • Discussion - Regression for Variables in Food Processing (01:20)
  • Discussion - Linear programming Vs. Goal Programming (01:01)
  • Discussion: Regression - Relationship between X & Y Variables (01:30)

You will gain instant access to:

  1. A 75-minute interactive session dealing with the topics: Regression, Multicollinearity, Optimization & their Applications.
  2. Access to the on-demand session and recorded modular videos
  3. Opportunity to ask questions during and after the scheduled session
  4. Practice exercises on the dealt topics

This webinar is most useful for:

  1. Graduate and undergraduate students in Food and agribusiness management
  2. Professionals working in food processing or food retail companies

In this webinar, Dr Atanu Chaudhuri will take the learners through different elements of Regression & Linear Programming

Module creators: Atanu Chaudhuri and Shanmukh Sagar

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