document.write( "Question 947467: POPULATION The table shows the population for a
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document.write( "given urban area.
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document.write( "Let x be the number of years since 1950 and let y be the
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document.write( "population in thousands. Find a model for the data. Then, linearize the data and give the regression
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document.write( "equation for the linearized data.
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document.write( "Year
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document.write( "1960
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document.write( "1970
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document.write( "1980
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document.write( "1990
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document.write( "2000
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document.write( "Population (thousands)
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document.write( "30
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document.write( "58
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document.write( "120
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document.write( "220
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document.write( "455\r
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document.write( "I found the model of the data and it turned out to be an exponential model with an equation of y=15.198(1.07)^x. I could not find the linearized equation. The linearized equation is supposed to be y= 0.0058x+3.726
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Algebra.Com's Answer #578507 by Fombitz(32388)![]() ![]() You can put this solution on YOUR website! The data for the curve fit should be \n" ); document.write( "(10,30) \n" ); document.write( "(20,58) \n" ); document.write( "(30,120) \n" ); document.write( "(40,220) \n" ); document.write( "(50,455) \n" ); document.write( " \n" ); document.write( "I agree with you. \n" ); document.write( "That looks like the best fit. \n" ); document.write( ". \n" ); document.write( ". \n" ); document.write( ".\r \n" ); document.write( "\n" ); document.write( "How does that linear solution even work? \n" ); document.write( "For \n" ); document.write( "For \n" ); document.write( "\n" ); document.write( " \n" ); document.write( " |