Engineering and Technology
Real-life applications of correlation and regression in Engineering and Technology, particularly in the areas of Quality Control and Predictive Maintenance are:
In Quality Control
Example: For automotive manufacturing, regression analysis has been applied to correlate processing variables like pressure, temperature, and material composition with product qualities like rigidity, durability and dimensional precision. Through a data collection process that features information from the various stages of the production cycle and submitting it for regression analysis, manufacturers conduct an assessment of the process parameters that they find to be close to being critical and end up significantly influencing the quality of product.
In Predictive Maintenance
Example: One may face a situation where safety and efficiency are of the utmost importance and regression analysis is a powerful tool used for predictive maintenance programs applied to aircraft engines. Using criteria such as motor operating conditions, fuel consumption, and vibration levels, the airline can collect a huge amount of historical data not just on motor performance but also on a running engine. With this process of regression analysis, the resulting forecast models will be equipped to assess potential failures or maintenance requests accurately before they take place.
Real-Life Applications of Correlation and Regression
Correlation and regression analysis represent useful discrimination and classification tools in statistics which find applications in different fields and disciplines. Correlation serves to detect interrelationships among the different variables and unravels the unseen patterns which might be otherwise hidden. From economics, to psychology, and public health, knowing correlation ensures that decisions are based on evidence and predictions are informed as well.
In this article , we’ll look into Real-life applications of correlation and regression.