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You are watching: The great plains railroad is interested in studying how fuel consumption

a) yes a linear model would be suitable in this context. As we deserve to see from the scatterplot the the points are close to each other and are positively correlated. From the residuals fitted value we check out that castle are virtually i…View the complete answer

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Transcribed image text: trouble #4 The great Plains railroad is interested in studying just how fuel intake is concerned the number of railcars for its trains top top a specific route in between Oklahoma City and also Omaha. A arbitrarily sample the 10 trains ~ above this route has yielded the following data: number of Railcars 2 0 20 37 31 47 43 39 50 40 29 Fuel intake (units/mile) 58 5291 801149887 122 100 70 A scatterplot, a residual plot, and the calculation from the regression evaluation for this data are presented below: RESIDUALS versus THE FITTED worths st. Fucl usage 0 ----- Resida 10 50 60 70 40 number of Railcars 80 90 100 110 120 Fitted worth The regression equation is Fuel usage = 10.7+ 2.15 Railcars Predictor consistent Railcar Coef 10.677 2.1495 S 4.361 R-Sq=96.7% a) Is a direct model proper for this data? plainly explain your reasoning. B) mean the fuel consumption cost is $48 per unit. Provide a suggest estimate (single value) for the readjust in the average cost of fuel per mile for each extr railcar attached to a train show your work. C) translate the value of R in the paper definition of this problem. D) would certainly it it is in reasonable to usage the fitted regression equation to predict the fuel usage for a train ~ above this path if the train had 65 railcars? Explain. C) What is the value of the correlation coefficient? interpret this worth in context. 1) What is the residual for the train through 40 cars? analyze this value in paper definition g) intend the fuel consumption cost is $48 every unit. If the pilgrimage from Victoria to Edmonton is 775 miles, calculation the operating expense for a train through 33 cars to make the trip. H) mean a train v 34 rail cars and also a fuel intake of 130 units/mile was included to these data. Describe the result this would have on the correlation coefficient and also describe the effect this would have actually on the steep of the LSRL keep in mind that no calculations room necessary.