L58: Regression method for conjoint analysis

Welcome to Lecture 58 of the course "Business Analytics" by Prof. Rahul R Marathe. Full Course: https://study.iitm.ac.in/ds/course_pages/BSMS2002.html Video Overview This lecture guides you through interpreting the output of a multiple linear regression analysis applied to conjoint analysis data. Learn how to make sense of R, R squared, p values, and beta coefficients to extract meaningful insights. The focus is on translating regression results into actionable takeaways such as attribute importance and ideal product profiles. You will also gain a clear understanding of part worths and how they reflect the utility of individual attribute levels. This session goes beyond running the analysis to help you truly understand what the numbers mean for product and marketing strategy. About IIT Madras' online Bachelor of Science programme IIT Madras offers four-year BS programmes that aim to provide quality education to all, irrespective of age, educational background, or location. The BS programme has multiple levels, which provide flexibility to students to exit at any of these levels. Depending on the courses completed and credits earned, the learner can receive a Foundation Certificate from IITM CODE (Centre for Outreach and Digital Education), Diploma(s) from IIT Madras, or BSc/BS Degrees from IIT Madras. For more details, Visit: https://www.iitm.ac.in/academics/study-at-iitm/non-campus-bs-programmes #ConjointAnalysis #MultipleLinearRegression #RegressionAnalysis #MarketResearch #DataAnalysis #PartWorth #AttributeImportance #IdealProduct #Marketing #Statistics #Excel #DataInterpretation #ConsumerPreferences #MarketingAnalytics #ProductStrategy #QuantitativeResearch #CustomerInsights #PredictiveModeling #UtilityEstimation #LevelUtilities #BusinessAnalytics #ChoiceModeling #RegressionOutput #MarketingResearchTools