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.  
\n" ); document.write( "Age 
\n" ); document.write( " (in months) 
\n" ); document.write( " Circumference  
\n" ); document.write( "(in cm)
\n" ); document.write( " 1
\n" ); document.write( " 35.8cm
\n" ); document.write( " 2
\n" ); document.write( " 36.6
\n" ); document.write( " 5
\n" ); document.write( " 38.5
\n" ); document.write( " 6
\n" ); document.write( " 39.1
\n" ); document.write( " 4
\n" ); document.write( " 38.9
\n" ); document.write( " 13
\n" ); document.write( " 40.1
\n" ); document.write( " 7
\n" ); document.write( " 39.1
\n" ); document.write( " 15
\n" ); document.write( " 40.3
\n" ); document.write( " 10
\n" ); document.write( " 39.9
\n" ); document.write( " 2
\n" ); document.write( " 36.8
\n" ); document.write( " 18
\n" ); document.write( " 40.6
\n" ); document.write( " 
\n" ); 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. 
\n" ); 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? 
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Algebra.Com's Answer #768818 by ikleyn(52946)\"\" \"About 
You can put this solution on YOUR website!
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\n" ); document.write( "\n" ); document.write( "The era of personal computers is just two or three decades.\r
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\n" ); document.write( "\n" ); document.write( "Therefore,  find an appropriate linear regression online solver  (preferably, free of charge),\r
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\n" ); document.write( "\n" ); document.write( "read the instruction to it,  input your data and press the  \"SOLVE\"  button.\r
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\n" ); document.write( "\n" ); document.write( "You will get the answer in second,  without any help from outside.\r
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\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
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