DISCUSSIOI'I .'L The United States Deparlment of Agriculture {U EDA}, in conjunch'on with the Forest Service, publishes information to assist companies in estimating the cost of building a temporary road for such activities as a timber sale. Such reads are generally buitt for one or two seasons of use for limited trafc and are designed with the goal of reestablishing vegetative cover on the roadway and adjacent disturbed area within ten years after the termination of the contract, permit, or lease. The timber sale contract requires out sloping, removal of culverts and ditches, and building water bars or cross ditches after the road is no longer needed. As part of this estimation process, the company needs to estimate haul costs. The USDA publishes variable costs in dollars per cubic-yard-mile of hauling dirt according to the speed with which the vehicle can drive. Speeds are mainly determined by the road width, the sight distance, the grade, the curves and the turnouts. Thus, on a steep, narrow, winding road, the speed is slow; and on aflat, straight, wide road, the speed is faster. Shown below are data on speed, cost per cubic yard for a 12 cubic yard end-dump vehicle, and cost per cubic yard for a 2D cubic yard bottom-dump vehicle. Use these data and simple regression analysis to develop models for predicting the haul cost by speed for each of these two vehicles. Discuss the strength of the models. Based on the models, predict the haul cost for 35 mph and for 15 mph for each of these vehicles. {MPH} 1|ii'EHIlZLES PER CUBIC YD. 1||.I"EH|EILE5 PER CUBIC YD. _ _ _ 2. Shown here are Caterpillar's annual global sales and revenue streams for the years 2004 through 2014. By observing the data graphically and analyzing the data statistically using techniques and concepts from this chapter, share your insights and conclusions about Caterpillar's annual global sales and revenue streams over this period of time. YEAR SALES AND REVENUE STREAMS ($ BILLIONS) 2004 30.31 2005 36.34 2006 41.52 2007 44.96 2008 51.32 2009 32.40 2010 42.59 2011 60.14 2012 65.88 2013 55.66 2014 55.18 Run the analyses and answer the questions. You may want to put your interpretation into your Excel file