For the past ten years, Michelle has been tracking the average annual rainfall in Boynton Beach, Florida by recording her data i
n 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.
Answer: 55.44 inches Step-By-Step Explanation part a. assuming a perfectly linear relationship, we can find the slope from the first two data points. slope = m = (change in rainfall)/(change in years) = (61.80 -62.33)/(2005 -2004) = -0.53/1 = -0.53 then the point-slope form of the equation of the line can be written as y = m(x -h) +k . . . . . m = -0.53, (h, k) = (0, 62.33) y = -0.53x +62.33 . . . x = years after 2004 part b. in 2017, x = 2017 -2004 = 13. then the predicted rainfall is y = -0.53·13 +62.33 = 55.44 . . inches the predicted rainfall in 2017 is 55.44 inches.
The dragons would have to speed up to balance out the time that they slowed down.
The instantaneous rates of changes are all the individual speeds at given times. If you have some that are slow, you will need to have just as many that are fast to balance it out and ensure they have the correct average speed.
