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Consider the data in the following table: b) Find the exponential equation of best fit. Round the coefficients to the nearest thousandth. The exponential equation of best fit is y=

Consider the data in the following table: b) Find the exponential equation of best fit. Round the coefficients to the nearest thousandth. The exponential equation of best fit is y=

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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Consider the data in the following table:

b) Find the exponential equation of best fit. Round the coefficients to the nearest thousandth.

The exponential equation of best fit is

y=

**Data Table Analysis** Consider the data in the following table: | x | y | |----|------| | 5 | 1740 | | 10 | 1540 | | 15 | 1390 | | 20 | 1290 | | 25 | 1240 | | 30 | 1215 | | 35 | 1190 | This table presents paired values of variables \(x\) and \(y\). As \(x\) increases, the corresponding value of \(y\) decreases. This trend suggests a possible inverse or negative correlation between the two variables, which could be explored using statistical methods such as regression analysis to determine the nature and strength of the relationship.
Transcribed Image Text:**Data Table Analysis** Consider the data in the following table: | x | y | |----|------| | 5 | 1740 | | 10 | 1540 | | 15 | 1390 | | 20 | 1290 | | 25 | 1240 | | 30 | 1215 | | 35 | 1190 | This table presents paired values of variables \(x\) and \(y\). As \(x\) increases, the corresponding value of \(y\) decreases. This trend suggests a possible inverse or negative correlation between the two variables, which could be explored using statistical methods such as regression analysis to determine the nature and strength of the relationship.
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