Write an exponential equation from this data (data table included)

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SUMMARY

The discussion focuses on deriving an exponential equation from a given population data table using the formula y = a(b)^x. Participants emphasize the need to identify two key constants, a and b, by selecting two data points, specifically from the years 1954 and 1994. By setting up the equations 132459 = ab^1954 and 514013 = ab^1994, users can eliminate a through division to isolate b. The conversation suggests that applying a least squares fit may also be a viable method for modeling the data accurately.

PREREQUISITES
  • Understanding of exponential functions and their general form (y = a(b)^x)
  • Familiarity with population growth models and growth/decay rates
  • Knowledge of solving systems of equations
  • Basic statistical concepts, particularly least squares fitting
NEXT STEPS
  • Study methods for solving systems of equations involving exponential functions
  • Learn about least squares regression techniques for curve fitting
  • Explore the concept of growth rates in population dynamics
  • Investigate the implications of using different data points for modeling accuracy
USEFUL FOR

Students in mathematics or statistics, data analysts, and anyone involved in modeling population growth using exponential equations.

bigmac
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Homework Statement


- The following table gives the population of a city over time:
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Homework Equations



I know this equation: y = a(b)x

and exponential growth: b = 1 + growth rate and b = 1 - decay rate

The Attempt at a Solution



I know from back in chapter 2 that first differences = linear model, second differences are the same = quadratic and if the 3rd differences are the same then its a cubic model...but that doesn't work here. I am completely stuck...how do I find the model. Any hints/tips/methods will be greatly appreciated! Thanks!
 
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There are two unknown constants in your formula, a and b. You need two equations to solve for two unknowns so pick two points (typically, it is best to endpoints, here 1954 and 1994).

That will give you 132459= ab^{1954} and 514013= ab^{1994}

It should be easy to see that dividing one equation by the other will eliminate a, leaving a single equation to solve for b.
 
Perhaps you are supposed to find a best least squares fit to the data?
 

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