100 80 60 40 20 ++ 5 6 7 8 9 10 11 1 2 Year (0 → 2005) Find the least squares regression line y = at + b for the data shown in the figure by solving the system using matrices. Let t represent the year, with t= 0 corresponding to 2005. ( 12b + 6ба %3D 831 66b + 506a = 5643 y = Use the result to predict the number of new cases of the waterborne disease in 2026. (Round your answer to the nearest whole number.) cases Number of new c=

College Algebra
10th Edition
ISBN:9781337282291
Author:Ron Larson
Publisher:Ron Larson
Chapter7: Matrices And Determinants
Section7.1: Matrices And Systems Of Equations
Problem 93E
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From 2005 through 2016, the numbers of new cases of a waterborne disease in a small city increased in a pattern that was approximately linear (see
figure).
y
120
100
80
60
40
20
+
2
1
3
45 6 7 8 9 10 11
Year (0 → 2005)
Find the least squares regression line
y = at + b
for the data shown in the figure by solving the system using matrices. Let t represent the year, witht = 0 corresponding to 2005.
66а %3D 831
66b + 506a = 5643
12b +
y =
Number of new cases
Transcribed Image Text:From 2005 through 2016, the numbers of new cases of a waterborne disease in a small city increased in a pattern that was approximately linear (see figure). y 120 100 80 60 40 20 + 2 1 3 45 6 7 8 9 10 11 Year (0 → 2005) Find the least squares regression line y = at + b for the data shown in the figure by solving the system using matrices. Let t represent the year, witht = 0 corresponding to 2005. 66а %3D 831 66b + 506a = 5643 12b + y = Number of new cases
100
80
60
40-
20
1 2 3 4 56
7
8 9 10 11
Year (0 + 2005)
Find the least squares regression line
y = at + b
for the data shown in the figure by solving the system using matrices. Let t represent the year, witht = 0 corresponding to 2005.
12b + 66a =
831
66b + 506a = 5643
y =
Use the result to predict the number of new cases of the waterborne disease in 2026. (Round your answer to the nearest whole number.)
cases
Number of new ca
Transcribed Image Text:100 80 60 40- 20 1 2 3 4 56 7 8 9 10 11 Year (0 + 2005) Find the least squares regression line y = at + b for the data shown in the figure by solving the system using matrices. Let t represent the year, witht = 0 corresponding to 2005. 12b + 66a = 831 66b + 506a = 5643 y = Use the result to predict the number of new cases of the waterborne disease in 2026. (Round your answer to the nearest whole number.) cases Number of new ca
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