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y X Use Desmos regression using "Log Mode" for the following Use exponential regression y = ab to find an exponential function that best fits this data. y = 1 2 539 2708 3 4 5 6 7166 13063 22973 33194 Use linear regression y = a + bx to find a linear function that best fits this data. y = Use power regression y = ax" to find a power function that best fits this data.

y X Use Desmos regression using "Log Mode" for the following Use exponential regression y = ab to find an exponential function that best fits this data. y = 1 2 539 2708 3 4 5 6 7166 13063 22973 33194 Use linear regression y = a + bx to find a linear function that best fits this data. y = Use power regression y = ax" to find a power function that best fits this data.

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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y = X y y = 1 2 3 539 2708 7166 Use Desmos regression using "Log Mode" for the following Use exponential regression y = ab to find an exponential function that best fits this data. y = 5 6 33194 Use linear regression y = a + bx to find a linear function that best fits this data. Use power regression y = 4 13063 22973 ax" to find a power function that best fits this data.
Transcribed Image Text:y = X y y = 1 2 3 539 2708 7166 Use Desmos regression using "Log Mode" for the following Use exponential regression y = ab to find an exponential function that best fits this data. y = 5 6 33194 Use linear regression y = a + bx to find a linear function that best fits this data. Use power regression y = 4 13063 22973 ax" to find a power function that best fits this data.
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