Tech industry employees are facing big layoffs. As per https://layoffs.fyi/Links to an external site. , 118726 tech employees are laid off in the first 2 months of the year 2023. If you decide to predict a number of layoffs in your industry, what would be your employee layoff regression model in the industry of your work? Please Discuss in detail. The detailed model and the importance of each factor in the model and why you think your model may be most appropriate.

(No of Layoffs= a+ b( factor 1)+ c (factor 2)+ d (factor 3) + e (factor 4)..........................) for example, factor 1=automation in the industries, factor 2 may be Artificial intelligence, factor 3 may be economic slowdown post Covid, factor 4 would be war and uncertainty, and factor 5 may be cost cutting. So, you can think from your industry perspective and discuss it in the detail.

You can create a model based on your survey from colleagues. You can gather data based on Likert scale questionnaire on 1-7-point scale and run a regression model.

https://layoffs.fyi/Links to an external site. has complete data for your understanding and it has employee name and their information if you go on to the detail sheet. This is good data to understand technology layoffs around the world of big tech companies. Every student will have a different model based on experience, understanding, and knowledge.