X y 1 2 621 683 3 4 822 861 Use exponential regression to find an exponential function that best fits this da f(x) = 573.2 (1.1057) 5 6 1010 966 Use linear regression to find an linear function that best fits this data. g(x) = 543.8667 (80.9429) X O Linear Exponential Of these two, which equation best fits the data?
X y 1 2 621 683 3 4 822 861 Use exponential regression to find an exponential function that best fits this da f(x) = 573.2 (1.1057) 5 6 1010 966 Use linear regression to find an linear function that best fits this data. g(x) = 543.8667 (80.9429) X O Linear Exponential Of these two, which equation best fits the data?
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
![X
y
1
621
2
683
3
4
5
822 861 966
Use exponential regression to find an exponential function that best fits this da
f(x) = 573.2 (1.1057)
O Linear
Use linear regression to find an linear function that best fits this data.
g(x) = 543.8667 (80.9429)
6
1010
Exponential
X
Of these two, which equation best fits the data?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0126b65b-66a1-4930-86a7-96f79222b7bf%2Fa96a7769-2360-4ed8-b287-bf46cd4f6157%2Fjcbt77p_processed.jpeg&w=3840&q=75)
Transcribed Image Text:X
y
1
621
2
683
3
4
5
822 861 966
Use exponential regression to find an exponential function that best fits this da
f(x) = 573.2 (1.1057)
O Linear
Use linear regression to find an linear function that best fits this data.
g(x) = 543.8667 (80.9429)
6
1010
Exponential
X
Of these two, which equation best fits the data?
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