A cyclist starts pedaling from a standstill, and the cyclist's velocity v(ti) [m/s] at time ti [s] is recorded in the following data set. (ti) [s] 0 0.5 27 13 v(ti) [m/s] 0 2.5 4.5 6.5 7 It has been suggested that v(t) = a1(t) + a2√t would represent a suitable fit for the above data points. a) Estimate the value of a1 and a2 by using Multiple Linear Regression. Also, sketch the curve fit v(t) with the Data set. b) Calculate the coefficient of determination of the curve fit v (t), obtained in 2 (a)

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter2: Exponential, Logarithmic, And Trigonometric Functions
Section2.CR: Chapter 2 Review
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A cyclist starts pedaling from a standstill, and the cyclist's velocity v(ti) [m/s] at time ti [s] is recorded in the following data
set. (ti) [s] 0 0.5 27 13 v(ti) [m/s] 0 2.5 4.5 6.5 7 It has been suggested that v(t) = a1(t) + a2√t would represent a suitable fit
for the above data points.
a) Estimate the value of a1 and a2 by using Multiple Linear Regression. Also, sketch the curve fit v(t) with the Data set.
b) Calculate the coefficient of determination of the curve fit v (t), obtained in 2 (a)
Transcribed Image Text:A cyclist starts pedaling from a standstill, and the cyclist's velocity v(ti) [m/s] at time ti [s] is recorded in the following data set. (ti) [s] 0 0.5 27 13 v(ti) [m/s] 0 2.5 4.5 6.5 7 It has been suggested that v(t) = a1(t) + a2√t would represent a suitable fit for the above data points. a) Estimate the value of a1 and a2 by using Multiple Linear Regression. Also, sketch the curve fit v(t) with the Data set. b) Calculate the coefficient of determination of the curve fit v (t), obtained in 2 (a)
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