Dummy Variable Regression & Conjoint (Survey) Analysis in R

Dummy Variable regression (ANOVA / ANCOVA / structural shift), Conjoint analysis for product design Survey analysis

What is dummy variable regression? Why do you need it?
How to detect various kind of possibilities (Just slope change, intercept change etc.)
How to interpret dummy variable regression output?
What is conjoint analysis? Why do you need it?
How to do conjoint analysis using Excel?
How to perform design of experiment for orthogonal and balanced fractional factorial design?
How to use R for selection balance and orthogonal subset for fractional factorial design?
How to use R for conjoint analysis?
What is ANOVA & ANCOVA model?

This course has two parts. Part one refers to Dummy Variable Regression and part two refers to conjoint analysis.

Let me give you details of what you are going to get in each part.

---------------------------------

Part One - Dummy Variable Regression

--------------------------------

Need of a dummy variable
Demo and Interpretation of dummy variable regression
Theory of detecting Intercept, slope change etc. How to know, what kind of situation you have. Is is just
- intercept change,
- slope change or
- both Intercept and slope changing or
- nothing changing?
Demo of detecting slope change etc
Another two application of concepts of dummy variable regression
- Using dummy variable to detect structral break
- Using dummy variable to detect seasonality
ANOVA n ANCOVA models

---------------------------------

Part Two - Conjoint Analysis

--------------------------------

What is Conjoint Analysis
Usage of conjoint analysis
- How do you know relative importance of attributes
- How do you know part worth
Steps for designing Conjoint Analysis
Survey Result analysis using Excel for Conjoint Study
Survey Result analysis using R for Conjoint Study
When Conjoint Analysis reflects real world phenomena and how will you know that it is holding true
Advance conjoint analysis issues n approach
- why do you need fractional factorial design?
- qualities for fractional factorial design - balance and orthogonal
Using R to get fractional factorial design
- Demo of fractional factorial design
- Using sample data of fractional factorial design in R