FINAL ASSIGNMENT PART I: 1. Calculate the think up p.a. value using the average petrol prices by calendar month found in the Final Project Data Set. escape of study| Yearly Mean| 1982| 1.296| 1983| 1.241| 1984| 1.212| 1985| 1.202| 1986| 0.927| 1987| 0.948| 1988| 0.946| 1989| 1.022| 1990| 1.164| 1991| 1.140| 1992| 1.127| 1993| 1.108| 1994| 1.112| 1995| 1.147| 1996| 1.231| 1997| 1.234| 1998| 1.059| 1999| 1.165| 2000| 1.510| 2001| 1.461| 2002| 1.358| 2003| 1.591| 2004| 1.880| 2005| 2.295| 2006| 2.589| 2007| 2.801| 2008| 3.266| 2009| 2.350| 2010| 2.788| 2011| 3.129| 2. Using the forms as your x-axis and the annual mean as your y-axis, create a scatterplot and a latitude retroversion line. 3. Answer the following questions using your scatterplot and additive lapse line: * What is the slope of the analogue regression line? M= 0.0647 * What is the Y-intercept of the bil inear regression line? Y=0.0647(0) + 0.5734=0.5734 * What is the equation of the linear regression line in slope-intercept form? Y=0.0647x + 0.5734 * lower-ranking on the linear regression line, what would be an estimated cost of gasolene in the grade 2020? Y=0.
0647(20) + 0.5734=1.294 + 0.5734=1.8674 $1.87 * What are the residuals of each year? * Select a current price that you have seen or paid recently for gas. Is that price in spite of appearance the range of the linear regression line or is it an outlier? Is it within the bureau separation of 5% or either end? $3.42 It is not within the linear r! egression line, it would be considered an outlier and out of the range of the authorisation interval. PART II: Imagine that you are a motorcoach at a delivery service and you are creating a report to project the effects on your company of explicate gas prices in the next ten years. Using the confront statistical analysis as your basis and outside little resources to...If you want to get a full essay, order it on our website: OrderCustomPaper.com
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