simple linear regression (needed fast)(repost)

Hello, I will need a simple linear regression model done on these data sets. please find the model y = b0 + b1x for each set. Must find the following confidence interval for b1 for 70,80,90,95,99 percent confidence for each data set. Find Standard error Se for each set. Find Sb1 for each set. Sb1=Se/suare root[(sum(x-xbar)^2)]. Find SSE or sum of squares for each. Plot each in excell and show all sums and data. All Graphs and plots in excell must be included. Explain assumptions of linearity, normality and homoskedasticity. Fully expalin all work. This is simple linear regression. This is a short project an is needed immediately, eight hours from acceptance so please be sure you can finish this simple project. I will pay $35 American dollars for this project. A bonus will be given for excellent work. Please calculate also Fstar = (ssreg /degree freedom)/(sserror/degree freedom error) for all data. thanks ## Deliverables 1) Complete and fully-functional working program(s) in executable form as well as complete source code of all work done. 2) Deliverables must be in ready-to-run condition, as follows (depending on the nature of the deliverables): a) For web sites or other server-side deliverables intended to only ever exist in one place in the Buyer's environment--Deliverables must be installed by the Seller in ready-to-run condition in the Buyer's environment. b) For all others including desktop software or software the buyer intends to distribute: A software installation package that will install the software in ready-to-run condition on the platform(s) specified in this bid request. 3) All deliverables will be considered "work made for hire" under U.S. Copyright law. Buyer will receive exclusive and complete copyrights to all work purchased. (No GPL, GNU, 3rd party components, etc. unless all copyright ramifications are explained AND AGREED TO by the buyer on the site per the coder's Seller Legal Agreement). ## Platform Excell and Windows