document.write( "Question 1147495: The table below represents a chart kept by a pediatrician tracking the circumference of babies heads at various months of age.
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document.write( "Age
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document.write( " (in months)
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document.write( " Circumference
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document.write( "(in cm)
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document.write( " 1
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document.write( " 35.8cm
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document.write( " 2
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document.write( " 36.6
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document.write( " 5
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document.write( " 38.5
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document.write( " 6
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document.write( " 39.1
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document.write( " 4
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document.write( " 38.9
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document.write( " 13
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document.write( " 40.1
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document.write( " 7
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document.write( " 39.1
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document.write( " 15
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document.write( " 40.3
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document.write( " 10
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document.write( " 39.9
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document.write( " 2
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document.write( " 36.8
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document.write( " 18
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document.write( " 40.6
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document.write( "
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document.write( "1). Determine the regression model that best fits the data, rounding all values to the nearest thousandth. Then predict the size of a baby's head at 24 months old. Round your answer to the nearest tenth.
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document.write( "2). The pediatrician measured a newborns head and found the circumference to be 35.1cm. Can he add the pair (0, 35.1) to the data set to calculate a new regression? \n" );
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Algebra.Com's Answer #768818 by ikleyn(52946) You can put this solution on YOUR website! .\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "The era of personal computers is just two or three decades.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "Therefore, find an appropriate linear regression online solver (preferably, free of charge),\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "read the instruction to it, input your data and press the \"SOLVE\" button.\r \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "You will get the answer in second, without any help from outside.\r \n" ); document.write( " \n" ); document.write( " \n" ); document.write( "\n" ); document.write( "You can find TENS such sites, using the GOOGLE search engine with the keyword phrase \"linear regression online solver\".\r \n" ); document.write( " \n" ); document.write( " \n" ); document.write( "\n" ); document.write( " \n" ); document.write( " |