a= 634.581 b= 1.073 Use the model to predict the number of individuals infected with the disease after 19 days. Ь 2353 X m = 2) Use regression to find a linear equation that best fits the data above. The equation has form y = mt + b where: ✓individuals
a= 634.581 b= 1.073 Use the model to predict the number of individuals infected with the disease after 19 days. Ь 2353 X m = 2) Use regression to find a linear equation that best fits the data above. The equation has form y = mt + b where: ✓individuals
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Transcribed Image Text:a =
b = 1.073
2353
Use the model to predict the number of individuals infected with the disease after 19 days.
m=
b =
2) Use regression to find a linear equation that best fits the data above. The equation has form y = mt + b
where:
634.581
a =
X
Use the model to predict the number of individuals infected with the disease after 19 days.
|| ||
b =
individuals
3) Use regression to find a quadratic equation that best fits the data above. The equation has form
y = at² + bt + c where:
C=
individuals
Use the model to predict the number of individuals infected with the disease after 19 days.
individuals

Transcribed Image Text:ic
SIS
Days
1
2
Infected Individuals 678 722
a = 634.581
b = 1.073
2353
The table below shows the number of individuals infected with a disease t days after its first detected by the
CDC.
b =
N
X
S
For each of the following problems, enter regression equation values with at least 3 decimal places. Enter
predictions to the nearest whole individual.
✓individuals
III
3 4 5
756 825 882
1) Use regression to find an exponential equation that best fits the data above. The equation has form
y = abt where:
H
6
7
945 1017
individuals
M
Use the model to predict the number of individuals infected with the disease after 19 days.
8
1104
2) Use regression to find a linear equation that best fits the data above. The equation has form y = mt + b
where:
Use the model to predict the number of individuals infected with the disease after 19 days.
3) Use regression to find a quadratic equation that best fits the data above. The equation has form
y = at² + bt + c where:
S
MyOpe
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