Creating a formula to model my data

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herrma29

New Member
Joined
Feb 22, 2018
Messages
5
Hello,

I am having some difficulty modeling data with two independent variables and a dependent variable.


The data is included below:

[TABLE="width: 448"]
<colgroup><col><col span="2"><col span="3"></colgroup><tbody>[TR]
[TD][/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]100000[/TD]
[/TR]
[TR]
[TD="align: right"]2017[/TD]
[TD="align: right"]12375[/TD]
[TD="align: right"]11000[/TD]
[TD="align: right"]9475[/TD]
[TD="align: right"]9250[/TD]
[TD="align: right"]9250[/TD]
[/TR]
[TR]
[TD="align: right"]2016[/TD]
[TD="align: right"]12100[/TD]
[TD="align: right"]10800[/TD]
[TD="align: right"]9450[/TD]
[TD="align: right"]8150[/TD]
[TD="align: right"]7900[/TD]
[/TR]
[TR]
[TD="align: right"]2015[/TD]
[TD="align: right"]11000[/TD]
[TD="align: right"]9975[/TD]
[TD="align: right"]8775[/TD]
[TD="align: right"]7600[/TD]
[TD="align: right"]6475[/TD]
[/TR]
[TR]
[TD="align: right"]2014[/TD]
[TD="align: right"]9850[/TD]
[TD="align: right"]9125[/TD]
[TD="align: right"]8250[/TD]
[TD="align: right"]7000[/TD]
[TD="align: right"]6075[/TD]
[/TR]
[TR]
[TD="align: right"]2013[/TD]
[TD="align: right"]8850[/TD]
[TD="align: right"]8225[/TD]
[TD="align: right"]7450[/TD]
[TD="align: right"]6525[/TD]
[TD="align: right"]5600[/TD]
[/TR]
[TR]
[TD="align: right"]2012[/TD]
[TD="align: right"]7950[/TD]
[TD="align: right"]7575[/TD]
[TD="align: right"]7125[/TD]
[TD="align: right"]6375[/TD]
[TD="align: right"]5775[/TD]
[/TR]
[TR]
[TD="align: right"]2011[/TD]
[TD="align: right"]6825[/TD]
[TD="align: right"]6525[/TD]
[TD="align: right"]6175[/TD]
[TD="align: right"]5575[/TD]
[TD="align: right"]5125[/TD]
[/TR]
[TR]
[TD="align: right"]2010[/TD]
[TD="align: right"]5925[/TD]
[TD="align: right"]5775[/TD]
[TD="align: right"]5500[/TD]
[TD="align: right"]4975[/TD]
[TD="align: right"]4575[/TD]
[/TR]
[TR]
[TD="align: right"]2009[/TD]
[TD="align: right"]5175[/TD]
[TD="align: right"]5175[/TD]
[TD="align: right"]4950[/TD]
[TD="align: right"]4550[/TD]
[TD="align: right"]4250[/TD]
[/TR]
[TR]
[TD="align: right"]2008[/TD]
[TD="align: right"]4875[/TD]
[TD="align: right"]4875[/TD]
[TD="align: right"]4675[/TD]
[TD="align: right"]4450[/TD]
[TD="align: right"]4175[/TD]
[/TR]
[TR]
[TD="align: right"]2007[/TD]
[TD="align: right"]4125[/TD]
[TD="align: right"]4125[/TD]
[TD="align: right"]3925[/TD]
[TD="align: right"]3700[/TD]
[TD="align: right"]3475[/TD]
[/TR]
[TR]
[TD="align: right"]2006[/TD]
[TD="align: right"]3650[/TD]
[TD="align: right"]3650[/TD]
[TD="align: right"]3475[/TD]
[TD="align: right"]3275[/TD]
[TD="align: right"]3150[/TD]
[/TR]
[TR]
[TD="align: right"]2005[/TD]
[TD="align: right"]3575[/TD]
[TD="align: right"]3575[/TD]
[TD="align: right"]3425[/TD]
[TD="align: right"]3350[/TD]
[TD="align: right"]3175[/TD]
[/TR]
[TR]
[TD="align: right"]2004[/TD]
[TD="align: right"]3050[/TD]
[TD="align: right"]3050[/TD]
[TD="align: right"]2975[/TD]
[TD="align: right"]2875[/TD]
[TD="align: right"]2725[/TD]
[/TR]
[TR]
[TD="align: right"]2003[/TD]
[TD="align: right"]2825[/TD]
[TD="align: right"]2825[/TD]
[TD="align: right"]2775[/TD]
[TD="align: right"]2700[/TD]
[TD="align: right"]2625[/TD]
[/TR]
</tbody>[/TABLE]

Below is another configuration of the same data:
[TABLE="width: 243"]
<colgroup><col><col><col></colgroup><tbody>[TR]
[TD="align: right"]2017[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]12375[/TD]
[/TR]
[TR]
[TD="align: right"]2017[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]11000[/TD]
[/TR]
[TR]
[TD="align: right"]2017[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]9475[/TD]
[/TR]
[TR]
[TD="align: right"]2017[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]9250[/TD]
[/TR]
[TR]
[TD="align: right"]2017[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]9250[/TD]
[/TR]
[TR]
[TD="align: right"]2016[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]12100[/TD]
[/TR]
[TR]
[TD="align: right"]2016[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]10800[/TD]
[/TR]
[TR]
[TD="align: right"]2016[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]9450[/TD]
[/TR]
[TR]
[TD="align: right"]2016[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]8150[/TD]
[/TR]
[TR]
[TD="align: right"]2016[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]7900[/TD]
[/TR]
[TR]
[TD="align: right"]2015[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]11000[/TD]
[/TR]
[TR]
[TD="align: right"]2015[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]9975[/TD]
[/TR]
[TR]
[TD="align: right"]2015[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]8775[/TD]
[/TR]
[TR]
[TD="align: right"]2015[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]7600[/TD]
[/TR]
[TR]
[TD="align: right"]2015[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]6475[/TD]
[/TR]
[TR]
[TD="align: right"]2014[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]9850[/TD]
[/TR]
[TR]
[TD="align: right"]2014[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]9125[/TD]
[/TR]
[TR]
[TD="align: right"]2014[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]8250[/TD]
[/TR]
[TR]
[TD="align: right"]2014[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]7000[/TD]
[/TR]
[TR]
[TD="align: right"]2014[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]6075[/TD]
[/TR]
[TR]
[TD="align: right"]2013[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]8850[/TD]
[/TR]
[TR]
[TD="align: right"]2013[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]8225[/TD]
[/TR]
[TR]
[TD="align: right"]2013[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]7450[/TD]
[/TR]
[TR]
[TD="align: right"]2013[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]6525[/TD]
[/TR]
[TR]
[TD="align: right"]2013[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]5600[/TD]
[/TR]
[TR]
[TD="align: right"]2012[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]7950[/TD]
[/TR]
[TR]
[TD="align: right"]2012[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]7575[/TD]
[/TR]
[TR]
[TD="align: right"]2012[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]7125[/TD]
[/TR]
[TR]
[TD="align: right"]2012[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]6375[/TD]
[/TR]
[TR]
[TD="align: right"]2012[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]5775[/TD]
[/TR]
[TR]
[TD="align: right"]2011[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]6825[/TD]
[/TR]
[TR]
[TD="align: right"]2011[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]6525[/TD]
[/TR]
[TR]
[TD="align: right"]2011[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]6175[/TD]
[/TR]
[TR]
[TD="align: right"]2011[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]5575[/TD]
[/TR]
[TR]
[TD="align: right"]2011[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]5125[/TD]
[/TR]
[TR]
[TD="align: right"]2010[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]5925[/TD]
[/TR]
[TR]
[TD="align: right"]2010[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]5775[/TD]
[/TR]
[TR]
[TD="align: right"]2010[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]5500[/TD]
[/TR]
[TR]
[TD="align: right"]2010[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]4975[/TD]
[/TR]
[TR]
[TD="align: right"]2010[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]4575[/TD]
[/TR]
[TR]
[TD="align: right"]2009[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]5175[/TD]
[/TR]
[TR]
[TD="align: right"]2009[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]5175[/TD]
[/TR]
[TR]
[TD="align: right"]2009[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]4950[/TD]
[/TR]
[TR]
[TD="align: right"]2009[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]4550[/TD]
[/TR]
[TR]
[TD="align: right"]2009[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]4250[/TD]
[/TR]
[TR]
[TD="align: right"]2008[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]4875[/TD]
[/TR]
[TR]
[TD="align: right"]2008[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]4875[/TD]
[/TR]
[TR]
[TD="align: right"]2008[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]4675[/TD]
[/TR]
[TR]
[TD="align: right"]2008[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]4450[/TD]
[/TR]
[TR]
[TD="align: right"]2008[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]4175[/TD]
[/TR]
[TR]
[TD="align: right"]2007[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]4125[/TD]
[/TR]
[TR]
[TD="align: right"]2007[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]4125[/TD]
[/TR]
[TR]
[TD="align: right"]2007[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]3925[/TD]
[/TR]
[TR]
[TD="align: right"]2007[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]3700[/TD]
[/TR]
[TR]
[TD="align: right"]2007[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]3475[/TD]
[/TR]
[TR]
[TD="align: right"]2006[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]3650[/TD]
[/TR]
[TR]
[TD="align: right"]2006[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]3650[/TD]
[/TR]
[TR]
[TD="align: right"]2006[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]3475[/TD]
[/TR]
[TR]
[TD="align: right"]2006[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]3275[/TD]
[/TR]
[TR]
[TD="align: right"]2006[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]3150[/TD]
[/TR]
[TR]
[TD="align: right"]2005[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]3575[/TD]
[/TR]
[TR]
[TD="align: right"]2005[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]3575[/TD]
[/TR]
[TR]
[TD="align: right"]2005[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]3425[/TD]
[/TR]
[TR]
[TD="align: right"]2005[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]3350[/TD]
[/TR]
[TR]
[TD="align: right"]2005[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]3175[/TD]
[/TR]
[TR]
[TD="align: right"]2004[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]3050[/TD]
[/TR]
[TR]
[TD="align: right"]2004[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]3050[/TD]
[/TR]
[TR]
[TD="align: right"]2004[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]2975[/TD]
[/TR]
[TR]
[TD="align: right"]2004[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]2875[/TD]
[/TR]
[TR]
[TD="align: right"]2004[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]2725[/TD]
[/TR]
[TR]
[TD="align: right"]2003[/TD]
[TD="align: right"]20000[/TD]
[TD="align: right"]2825[/TD]
[/TR]
[TR]
[TD="align: right"]2003[/TD]
[TD="align: right"]40000[/TD]
[TD="align: right"]2825[/TD]
[/TR]
[TR]
[TD="align: right"]2003[/TD]
[TD="align: right"]60000[/TD]
[TD="align: right"]2775[/TD]
[/TR]
[TR]
[TD="align: right"]2003[/TD]
[TD="align: right"]80000[/TD]
[TD="align: right"]2700[/TD]
[/TR]
[TR]
[TD="align: right"]2003[/TD]
[TD="align: right"]100000[/TD]
[TD="align: right"]2625[/TD]
[/TR]
</tbody>[/TABLE]

I am looking for the best way to model this data. The data points are non-linear.

Thanks!
Chris
 

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Can you describe the data? What's the independent variable?
 
Upvote 0
Sure!

Basically, the first column is a column of years a particular car make and model was built. The second column is a series of mileage intervals per year. The last column is the dependent variable, which is the price of that make and model based on the data in the first two columns.

My goal is to predict the value of this car based on year and mileage.

Thanks!
 
Upvote 0
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