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1. How is the number of infected people growing? What type of function would you use to model this data? 2. Make a scatterplot of the data from Days 1-6 that shows the total number of infected people each day. 3. Determine the model that best fits this data. How do you know this model is best? 4. Use the regression equation from #3 to predict the number of infected employees by Day 10. What is wrong with this prediction? Days 1-6 To figure out how many employees you will have out at a time, you decide to start keeping track of the number of initially infected people, the number of newly infected people and the total number of infected people each day. The data for Days 1 - 6 is recorded in the table below. Day Number of initially infected people Number of newly infected people Total number of infected people 1 0 1 2 1 2 3 2 2 4 4 4 4 8 5 8 8 16 6 16 13 29

1. How is the number of infected people growing? What type of function would you use to model this data? 2. Make a scatterplot of the data from Days 1-6 that shows the total number of infected people each day. 3. Determine the model that best fits this data. How do you know this model is best? 4. Use the regression equation from #3 to predict the number of infected employees by Day 10. What is wrong with this prediction? Days 1-6 To figure out how many employees you will have out at a time, you decide to start keeping track of the number of initially infected people, the number of newly infected people and the total number of infected people each day. The data for Days 1 - 6 is recorded in the table below. Day Number of initially infected people Number of newly infected people Total number of infected people 1 0 1 2 1 2 3 2 2 4 4 4 4 8 5 8 8 16 6 16 13 29

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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1. How is the number of infected people growing? What type of function would you use to model this data? 2. Make a scatterplot of the data from Days 1-6 that shows the total number of infected people each day. 3. Determine the model that best fits this data. How do you know this model is best? 4. Use the regression equation from #3 to predict the number of infected employees by Day 10. What is wrong with this prediction?
Transcribed Image Text:1. How is the number of infected people growing? What type of function would you use to model this data? 2. Make a scatterplot of the data from Days 1-6 that shows the total number of infected people each day. 3. Determine the model that best fits this data. How do you know this model is best? 4. Use the regression equation from #3 to predict the number of infected employees by Day 10. What is wrong with this prediction?
Days 1-6 To figure out how many employees you will have out at a time, you decide to start keeping track of the number of initially infected people, the number of newly infected people and the total number of infected people each day. The data for Days 1 - 6 is recorded in the table below. Day Number of initially infected people Number of newly infected people Total number of infected people 1 0 1 2 1 2 3 2 2 4 4 4 4 8 5 8 8 16 6 16 13 29
Transcribed Image Text:Days 1-6 To figure out how many employees you will have out at a time, you decide to start keeping track of the number of initially infected people, the number of newly infected people and the total number of infected people each day. The data for Days 1 - 6 is recorded in the table below. Day Number of initially infected people Number of newly infected people Total number of infected people 1 0 1 2 1 2 3 2 2 4 4 4 4 8 5 8 8 16 6 16 13 29
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