Question: Given in the pictures the data analysis for a dataset studying Impact of COVID - 1 9 on Working Professionals. Considering that the findings for

Given in the pictures the data analysis for a dataset studying Impact of COVID-19 on Working Professionals. Considering that the findings for phase 4:
The MSE using OLS is: 0.250870803959499findings for phase 4: The MSE using OLS is: 0.2508708039594991
The MSE using Ridge is: 0.25087465982003204
The MSE using Lasso is: 0.25055625132928533
The best penalty coefficient is: 1.0
The best coefficient estimates are: [0.010533281859606239,-0.00596037835249958,0.0035866080503001822,0.001335334012547353,-0.0018060952453570278,0.006530671951683851,0.0036340599545154678,-0.0066105660715736455,-0.008865899361248854,0.015441360576502989,0.0040465866677203725,0.4634393135016388,-0.01234761262382205,0.009002659811362668,-0.005348377467731184,-0.004026885117280326,-0.007844661492713796]
Question:
Provide the summary and conclusion of your analysis & Give possible future recommendations.
Recommendations to answer the question:
Communicate results so different stakeholders (including non technical) can understand.
Do not talk about the technical details of how you have developed your model.
More points to consider when answering the question:
Major Insights & Findings, Business Value of Results, Key Points Supported with Data, Model Description, Limitations, Recommendation for Future Project.
Typical answer should be about 5-10 sentences. However, please give clear explanation and justification for the answer. Thank you.
Given in the pictures the data analysis for a

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