Project

To complete this project, use the last(a) plan Data chastise anatomy in your eCollege classroom in the Final mold description. tell I: Calculate the mean yearly prize apply the average gas prices by month found in the Final Project Data Set. Using the age as your x-axis and the annual mean as your y-axis, create a scatterplot and a bi cablear relapse termination. Answer the avocation questions using your scatterplot and elongate simple degeneration line: What is the slope of the elongated fixation line? What is the Y-intercept of the linear regression line? What is the equation of the linear regression line in slope-intercept form? Based on the linear regression line, what would be an estimated cost of gas in the year 2020? What be the residuals of each year? Select a current price that you have seen or paid qabalistic for gas. Is that price within the range of the linear regression line or is it an outlier? Is it within the confidence interval o f 5% or either end? PART II: Imagine that you argon a manager at a delivery supporter and you be creating a report to project the effects on your company of rising gas prices in the next go years.

Using the preceding statistical abstract as your founding and outside scholarly resources to support your claims, write a 3 to 5 page paper interpreting the results from this perspective. Include the next considerations: Introduce the project and its significance to the company. Explain the statistical digest that you completed in Part I. Be sure to support where the data came from, what analysis was done, and what the results were. Give conclusions that you have drawn from the data. airfield the effects of your gas pr! ice predictions on the delivery business. overly consider whether or not you believe your predicted gas prices are accurate. What could occur in the future that would change your linear regression line and therefore your prediction? Writing the Final Project The Final Project: Part I must be provided as...If you deficiency to get a full essay, order it on our website: OrderEssay.net

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