Dummy Variable Regression & Conjoint (Survey) Analysis in R | Data Science Online Course by Udemy

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

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Dummy Variable Regression & Conjoint (Survey) Analysis in R

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 variableDemo and Interpretation of dummy variable regressionTheory of detecting Intercept, slope change etc. How to know, what kind of situation you have. Is is justintercept change, slope change orboth Intercept and slope changing ornothing changing?Demo of detecting slope change etcAnother two application of concepts of dummy variable regressionUsing dummy variable to detect structral breakUsing dummy variable to detect seasonalityANOVA n ANCOVA models-Part Two – Conjoint Analysis-What is Conjoint AnalysisUsage of conjoint analysisHow do you know relative importance of attributesHow do you know part worthSteps for designing Conjoint AnalysisSurvey Result analysis using Excel for Conjoint StudySurvey Result analysis using R for Conjoint StudyWhen Conjoint Analysis reflects real world phenomena and how will you know that it is holding trueAdvance conjoint analysis issues n approachwhy do you need fractional factorial design?qualities for fractional factorial design – balance and orthogonalUsing R to get fractional factorial designDemo of fractional factorial designUsing sample data of fractional factorial design in R

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