other operating/performance and financial statistics we report key railroad performance measures weekly to the association of american railroads ( aar ) , including carloads , average daily inventory of rail cars on our system , average train speed , and average terminal dwell time . we provide this data on our website at www.up.com/investors/reports/index.shtml . operating/performance statistics included in the table below are railroad performance measures reported to the aar : 2009 2008 2007 % (  % ) change 2009 v 2008 % (  % ) change 2008 v 2007 .

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	2009	2008	2007	% (  % ) change 2009 v 2008	% (  % ) change 2008 v 2007
average train speed ( miles per hour )	27.3	23.5	21.8	16 % (  % )	8 % (  % )
average terminal dwell time ( hours )	24.8	24.9	25.1	-	( 1 ) % (  % )
average rail car inventory ( thousands )	283.1	300.7	309.9	( 6 ) % (  % )	( 3 ) % (  % )
gross ton-miles ( billions )	846.5	1020.4	1052.3	( 17 ) % (  % )	( 3 ) % (  % )
revenue ton-miles ( billions )	479.2	562.6	561.8	( 15 ) % (  % )	-
operating ratio	76.0	77.3	79.3	( 1.3 ) pt	( 2.0 ) pt
employees ( average )	43531	48242	50089	( 10 ) % (  % )	( 4 ) % (  % )
customer satisfaction index	88	83	79	5 pt	4 pt
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average train speed 2013 average train speed is calculated by dividing train miles by hours operated on our main lines between terminals . lower volume levels , ongoing network management initiatives , and productivity improvements contributed to 16% ( 16 % ) and 8% ( 8 % ) improvements in average train speed in 2009 and 2008 , respectively . average terminal dwell time 2013 average terminal dwell time is the average time that a rail car spends at our terminals . lower average terminal dwell time improves asset utilization and service . average terminal dwell time improved slightly in 2009 compared to 2008 and improved 1% ( 1 % ) in 2008 versus 2007 . lower volumes combined with initiatives to more timely deliver rail cars to our interchange partners and customers improved dwell time in both periods . gross and revenue ton-miles 2013 gross ton-miles are calculated by multiplying the weight of loaded and empty freight cars by the number of miles hauled . revenue ton-miles are calculated by multiplying the weight of freight by the number of tariff miles . gross and revenue-ton-miles decreased 17% ( 17 % ) and 15% ( 15 % ) in 2009 compared to 2008 due to a 16% ( 16 % ) decrease in carloads . commodity mix changes ( notably automotive shipments , which were 30% ( 30 % ) lower in 2009 compared to 2008 ) drove the difference in declines between gross ton-miles and revenue ton-miles . gross ton-miles decreased 3% ( 3 % ) , while revenue ton-miles were flat in 2008 compared to 2007 with commodity mix changes ( notably autos and coal ) explaining the variance in year over year growth between the two metrics . operating ratio 2013 operating ratio is defined as our operating expenses as a percentage of operating revenue . our operating ratios improved 1.3 points to 76.0% ( 76.0 % ) in 2009 and 2.0 points to 77.3% ( 77.3 % ) in 2008 . core pricing gains , lower fuel prices , network management initiatives , and improved productivity drove the improvement in 2009 and more than offset the 16% ( 16 % ) volume decline . price increases , fuel cost recoveries , network management initiatives , and improved productivity drove the improvement in 2008 and more than offset the impact of higher fuel prices . employees 2013 productivity initiatives and lower volumes reduced employee levels 10% ( 10 % ) throughout the company in 2009 versus 2008 and 4% ( 4 % ) in 2008 compared to 2007 . fewer train and engine personnel due .

Question: what will 2010 operating ratio be if the average 2009 and 2008 increases occur in 2009?
Program: add(1.3, const_2), divide(#0, const_2), add(76.0, #1)
Answer: 77.65