ANCOVA in SPSS (Part-2): The Application of ANCOVA Principles in Manufacturing Industries

In this video tutorial, l demonstrated the Application of the Principles of ANCOVA or Analysis of Covariance in the Manufacturing Industries for better decision making. The statistical method combined ANOVA and regression analysis to achieve the desired results.

ANCOVA is demonstrated using SPSS software to analyze the impact of different welding methods on product quality, controlling for temperature as a covariate. The tutorial details the assumptions of ANCOVA, the steps for performing the analysis in SPSS, and interpreting the results to inform manufacturing decisions.

Specific focus is given to interpreting the Levene's Test and the Test of Between-Subjects Effects tables to determine statistically significant differences between production methods. The video concludes by emphasizing the use of ANCOVA for data-driven process optimization in manufacturing.

Please, subscribe to this Channel to continue to be updated whenever I post new videos.

The following are the links to the videos mentioned during the demonstration:

Introduction to SPSS Software for Beginners (Part 1):    • Introduction to SPSS Software for Beginner...  

The Best ANCOVA Analysis Procedure in SPSS:    • The Best ANCOVA Analysis Procedure in SPSS  

Interpretation of ANCOVA Results in SPSS:    • Interpretation of ANCOVA Results in SPSS  

To see more of my videos on data analysis, Please kindly click on this link:
   / titocanmarksolutions  
to visit my YouTube Channel on "Titocan Mark Solutions (TMS)".

For private business inquiries, please contact me via: [email protected]

Titocan Mark Solutions (TMS) is a YouTube Channel that improves the knowledge of how to do things in many endeavours. Please, encourage education and learning by liking, sharing and kindly subscribing to this channel. You will begin to receive notifications every time I publish new video content when you have subscribed. Please, SUBSCRIBE and share this video in the good interest of others. Thank you for your time and the subscription.