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 57.56Use 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.
To create a linear graph of the data, follow the steps below:
1. Draw the x and y axis on a graph paper or use any software which will allow plotting (Excel, Google Sheets, etc.).
2. Label the x-axis as 'Years (starting from 2004)' and the y-axis as 'Average Rainfall (in inches)'.
3. Mark the x values on the x-axis from 0 (representing 2004) to 9 (representing 2013).
4. Mark the y values on the y-axis starting from 57 to 63, as the average rainfall lies between these values.
5. Plot the given data points on the graph:
* (0, 62.33)
* (1, 61.8)
* (2, 61.27)
* (3, 60.74)
* (4, 60.21)
* (5, 59.68)
* (6, 59.15)
* (7, 58.62)
* (8, 58.09)
* (9, 57.56)
6. Draw a straight line that best fits the data points (using the trendline feature in Excel/Google Sheets or sketching manually).
You will have a linear graph with a downward-sloping trendline, indicating that the average rainfall is decreasing over time in Boynton Beach, Florida.