EDA Analysis and linear regression using JMP Software...

Join us in our latest video as we dive deep into the world of Exploratory Data Analysis
(EDA) and Linear Regression techniques applied to an investment casting dataset! In this
comprehensive tutorial, we explore how different casting temperatures affect shrinkage, utilizing
both Simple Linear Regression (SLR) and Multiple Linear Regression (MLR) methods.
What You'll Learn:
temperature and shrinkage.
• Exploratory Data Analysis (EDA): Discover how to summarize data with descriptive statistics
and visualize relationships using box plots.
• Linear Regression Techniques: Learn the fundamentals of SLR and MLR, and see how these models can predict shrinkage based on temperature settings.
• Interpretation of Results: Gain insights into how temperature impacts shrinkage, and
explore implications for process optimization and quality control in manufacturing.
Why Watch?
This video is perfect for data enthusiasts, students, and professionals looking to enhance their analytical skills. Whether you're new to data science or looking to refine your understanding of regression analysis, our step-by-step approach will guide you through the entire process.Don't forget to like, subscribe, and hit the notification bell for more insightful content on data analysis techniques!
Date of Release: January 14, 2025
Time: 10 PM ISTTune in and elevate your data analysis skills with us!