PART I:
1. Calculate the mean p.a. value using the average petrol prices by month found in the Final Project Data Set.
course 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 yearbook mean as your y-axis, create a scatterplot and a analog retroversion line.
3. Answer the following questions using your scatterplot and additive regression line:
* What is the slope of the linear regression line?
M= 0.0647
* What is the Y-intercept of the linear 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
* base on the linear regression line, what would be an estimated cost of gas in the year 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 within the range of the linear regression line or is it an outlier? Is it within the bureau breakup of 5% or either end?
$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 service and you are creating a report to project the effects on your company of uprise gas prices in the next ten years. Using the front statistical analysis as your basis and outside critical resources to...If you want to get a full essay, order it on our website: Ordercustompaper.com
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