Posted by **Tony** on Monday, July 8, 2013 at 11:53am.

Shown below are rental and leasing revenue figures for office machinery and equipment in the United States over a sever-year period according to the U.S. Census Bureau. Use these data to run a linear regression and then forecast the rental and leasing revenue for the year 2012.

2004 5,860

2005 6,632

2006 7,125

2007 6,000

2008 4,380

2009 3,326

2010 2,642

- statistics -
**Steve**, Monday, July 8, 2013 at 12:09pm
Just go to your favorite regression calculator, and if y(x) is the line estimating x years after 2004,

y = 7174.75 - 678.964x

So, for 2012,

y(8) = -972.77

It's not likely that we will get a negative value, and indeed we see that since the data rise and then fall, a linear model isn't very good in this case.

- statistics -
**Tony**, Monday, July 8, 2013 at 12:18pm
Y=71745-678.964x =6495.786

So for 2012,

y (8) = -972.77

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