document.write( "Question 880141: Pet Care The table shows general guidelines for the weight of a Great Dane at
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\n" ); document.write( "\n" ); document.write( "Copy & paste the link to see the table : http://prntscr.com/3q2kvg
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\n" ); document.write( "\n" ); document.write( "a). None of the three models in this lesson—linear,
\n" ); document.write( "quadratic, or exponential—fits this data exactly.
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\n" ); document.write( "\n" ); document.write( "B). What would you predict for the weight of a Great
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\n" ); document.write( "\n" ); document.write( "C) . Do you think you could use your model to find the
\n" ); document.write( "weight of a Great Dane at any age? Why or why not?\r
\n" ); document.write( "\n" ); document.write( "please help me show work please, THANK YOU.\r
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Algebra.Com's Answer #531248 by josgarithmetic(39620)\"\" \"About 
You can put this solution on YOUR website!
Not a complete answer yet - but the points appear to be logarithmic.\r
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\n" ); document.write( "\n" ); document.write( "The points shown in the hyperlink are (2,12),(4,23),(6,33),(8,40),(10,45), in which first coordinate is months age and the second coordinate is weight.\r
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\n" ); document.write( "\n" ); document.write( "Starting with \"y=a%2Aln%28x%29%2Bb\", forming two equations from the first and last ordered pair, and solving the system, a model found is \"highlight%28y=%2820.5%29ln%28x%29-2.21%29\". This model is good but does not reproduce the point (4,23) nor (6,33) too well.\r
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\n" ); document.write( "\n" ); document.write( "Trying a quadratic model, using the points (2,12), (6,33), and (10,45) gave three simultaneous equations. The resulting coefficients while treating the actual a, b, and c of general form as the variables, fed into the perdue matrix calulator ( http://www.math.purdue.edu/~dvb/matrix.html ), gives \"highlight_green%28y=-0.2813x%5E2%2B7.5x-1.875%29\". You can check how well this model fits and decide what you think of it.\r
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\n" ); document.write( "\n" ); document.write( "That quadratic model appears to reproduce the data points very well...
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