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 use the values provided in the table to create a linear graph of the data. on the graph, let x = 0 represent the year 2004. be sure to include all proper labels on the graph.

the graph is attached.

step-by-step explanation:

using x = 0 as 2004, the y-intercept will be at (0, 62.33).  

the rainfall amounts are decreasing each year.   the amount of rainfall is decreasing at a constant amount each year:

61.8-62.33 = -0.53;

61.27-61.8 = -0.53;

60.74-61.27 = -0.53; etc.

this means the data is, in fact, linear, and the slope (rate of change) is -0.53.

3201

step-by-step explanation:

15% chance.

step-by-step explanation:

3/10 times, the 5 year old will get a tablet. 5/10 times, the 13 yer old will get a tablet. multiply both fractions to get 15/100 times, both would have a tablet.