Business Statistics

To complete this meet, use the Final project Data cast along demonstrate in your college classroom in the utmost project description Part 1 Calculate the connote categoryly jimmy using the average gas legal injurys by calendar month found in the Final Project Data mountain Using the days as your x-axis and the annual mean as your Y-axis create a scatterplot and a running(a) arrested development aviation conclude the following motility using your scatterplot and one-dimensional reverting line. 1. What is the swash of the linear regression line? 2. What is the Y- bug of the linear line? 3. What is the par of the linear regression line in the slop intercept form? 4. found on the linear regression line what would be an estimated exist of gas in the year 2020? 5. What are the residuals of each year? 6. Select a current equipment casualty that you have seen or paid recently for gas. Is that price deep down the range of the linear r egression line or is it an outliner? Is it deep down the confidence musical interval of 5% or every end? Part II cogitate that you are a manager at a spoken language serving and you are creating a report to project the set up on your company of rising gas prices in the following(prenominal) ten years.

Using the preceding statistical analysis as your basis and outside scholarly resources to support your claims write a 3 to 5 page paper interpreting the results from this love 1. take in the project and its significance to the company 2. beg off the statistical analysis that you end in part 1. Be sure to explain were the information c! ame from, what analysis was done, and what the results were. 3. Give determination that you have drawn from the data. figure the effects of your gas price are accurate. What could occur in the future that would change your linear regression line so your predictionIf you want to get a full essay, order it on our website: OrderCustomPaper.com

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