Lecture Session 7 Topic

https://drive.google.com/drive/folders/1Fx8ABw-uhxShEKrTv6icRf-d34M0ZEj_?usp=drive_link

1. Explain the role of regression analysis in engineering problem-solving.

2. What are the main differences between simple linear regression and multiple regression? Give engineering examples.

3. How is regression used in civil engineering to predict the strength of concrete?

4. Discuss applications of regression in mechanical engineering with respect to fuel consumption and material strength.

5. How can regression help in forecasting power demand in electrical engineering?

6. Explain the use of regression models in chemical engineering for process optimization.

7. What is the importance of regression in software and computer engineering, particularly in machine learning applications?

8. List and explain the steps involved in applying regression models to real-world engineering problems.

9. What are the advantages and limitations of using regression models in engineering?

10. Solve an example: A mechanical engineer collects data on load (X) and deflection (Y) of a beam. The regression equation is found to be Y = 0.5X + 2. Interpret this equation.