Statistics: Informed Decisions Using Data (4th Edition)

Published by Pearson
ISBN 10: 0321757270
ISBN 13: 978-0-32175-727-2

Chapter 4 - Review - Case Study - Thomas Malthus, Population, and Subsistence - Page 252: b

Answer

The required model is \[P=\left( 0.000000000417 \right)\cdot {{\left( 1.021 \right)}^{t}}\]

Work Step by Step

The exponential model is defined as \[P=a\cdot {{b}^{t}}\] where \[P\] is the population of the particular year and \[t\] is the time point, \[a\text{ and }b\] are the regression coefficients. The coefficients for the regression line are obtained as \[-9.38\] and 0.009 from which the regression coefficients for the exponential model are obtained. The coefficients for the exponential model are calculated as \[\begin{align} & a={{10}^{\log \left( a \right)}} \\ & ={{10}^{-9.38}} \\ & =0.000000000417 \end{align}\] and \[\begin{align} & b={{10}^{\log \left( b \right)}} \\ & ={{10}^{0.009}} \\ & =1.021 \end{align}\] Therefore, the regression model is obtained as \[P=\left( 0.000000000417 \right)\cdot {{\left( 1.021 \right)}^{t}}\]
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