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regression equation: y= 10.7 + 2.5 railcars so y intercept 10.667 and slope is 2.1495... std dev is 5.157 r-sq = 96.7%, r-sq (adj) = 96.3% data table number of railcars | fuel consumption (units/mi) 20 | 58 20 | 52 37 | 91 31 | 80 47 | 114 43 | 98 39 | 87 50 | 112 40 | 100 29 | 70 would it be reasonable to use the fitted regression equation to predict the fuel consumption for a train on this route if the train had 65 railcars?
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