For the reason that COVID monitoring project has discontinued, there might be no longer any single federal database with all covid data. Then but again, the Heart for Disease Management (CDC) COVID Records Tracker incorporates hyperlinks out to covid data for states and counties.
Narrate the hyperlinks equipped by the CDC COVID data tracker to salvage the covid data for your teach:
Form the data by teach and then by submission date. Reproduction the final data for your teach to a brand new sheet.
Set up a brand new column AR within the database labeled % obvious. The system to calculate % obvious has to be = AD1/AP1. Structure the cell for percentage. Reproduction the cell down the column for all dates of your teach.
The exhaust of the data, manufacture a linear regression time series analysis for deaths (column D), % examined, and % obvious. Acknowledge the next questions:
What’s the null and different speculation for every variable?
What used to be the r squared for every variable? What does this point out?
What used to be the p-tag of every test? What does this point out?
For those assessments which had been significant, exhaust the model to foretell the tag of the variable seven days after the close of the workshop.
Write a short legend (1 to 2 pages for every variable) that involves the outcomes of your analysis. Screen the outcomes and focus on the implications of your findings. Consist of whatever graphs or statistical output you furthermore mght can simply have generated in answering these questions along with a short clarification of your analysis. What conclusions relating to COVID19 might presumably well also simply you blueprint out of your analysis?
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