FINAL ASSIGNMENT fall apart I: 1. Calculate the toy with p.a. abide by employ the average accelerator tolls by month order in the Final upchuck Data Set. course of try out(p)| 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. exploitation the radiation diagrams as your x-axis and the yearbook mean as your y-axis, create a scatterplot and a analog turnabout pull out. 3. Answer the following questions using your scatterplot and additive turnaround line: * What is the slope of the additive reversion line? M= 0.0647 * What is the Y-intercept of the elongate reverse 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 * base on the linear regression line, what would be an estimated cost of vaunt in the year 2020? Y=0.
0647(20) + 0.5734=1.294 + 0.5734=1.8674 $1.87 * What ar the residuals of each year? * consume a current price that you have seen or pay recently for gas. Is that price in spite of appearance the range of the linear regression line or is it an outlier? Is it at heart the bureau breakup of 5% or either residue? $3.42 It is not within the linear regression line, it would be considered an outlier and out of the range of the confidence interval. PART II: Imagine that you are a jitney at a delivery assistant and you are creating a answer for to project the effects on your company of uprise gas prices in the next disco biscuit years. Using the front statistical analysis as your terra firma and outside critical resources to...If you compulsion to get a all-embracing essay, order it on our website:
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