For the past ten years, michelle has been tracking the average annual rainfall in boynton beach, florida by recording her data in the given table. she has concluded that the relationship can be modeled by a linear function. year 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 average rainfall(in inches) 62.33 61.8 61.27 60.74 60.21 59.68 59.15 58.62 58.09 57.56 based on the data provided in michelle's table, use complete sentences to explain how the average rate of change in boynton beach's rainfall for the years 2004-2013 can be found. use the data provided in the table to calculate the average rate of change in precipitation. use complete sentences to explain what the average rate of change means in terms of the average rainfall.

Well in 2004 it was 62.33 inch and in 2013 it was 57.56 so it changed from 2004-2013 119.89 inch. Hope this helps.

To find the average rate of change of any set of data you have to subtract the value at the initial point to the value at the final point, and divide this by the subtraction of the initial point to the final point.

In this case, the final point is year 2013 and the initial point is 2004, then:

average rate of change = (57.56 - 62.33)/(2013 - 2004) = -0.53

This represents the average change of annual rainfall, that is, the rainfall decrease, on average, 0.53 inches from one year to the next one in this period of time.

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step-by-step explanation:

step-by-step explanation:

this is not possible to solve with the info given.   you need at least an one angle somewhere.