Exploring Regression Analysis in Predictive Modeling with Python tool
Deepak Kumar, Achin Srivastav, Manoj Kumar Sain, Vikash Gautam · SKIT Research Journal · 2024
This study investigates the application of Regression in predictive modeling by examining the relationships between 3 independent-variables (x1, x2 and x3) and 'y' as a dependent-variable.It shows the application of Regression in the domain of Plastic injection moulding, Welding, electric discharge machining and Casting.Utilizing a dataset with 22 observations, the analysis demonstrates that x1, x2, and x3 significantly influence y, with the regression model achieving an R-squared value between 75% and 90%.The results highlight the positive correlations between each independent variable and y, suggesting their substantial predictive power.The study underscores the effectiveness of Multi Linear Regression (MLR) in understanding complex variable interactions and provides insights into the model's fit and reliability.