please solve all on excel. I can not post questions separately because they would have missing information. drop venmo in comments and ill send $10 for your time and be sure to thumbs up. thank you!

the mileage of a specific car (of the same year). The second column is the price of the car based on the mileage. Use the price data as the dependent variable and the miles data as the independent variable to answer the following questions 1. Create a graph with the two variables (.e., price and miles). Your answer should look like the following: Relationship between miles and price 20000 15000 price 10000 1 5000 0 0 o 20000 40000 80000 100000 120000 60000 miles 2. Use the simple regression equation to calculate the coefficients. Excel formulas must be used to get the statistics (Follow the instructions in the video lectures). 9 = be +byx, where ) is the point estimator of E('), and b, and b, are sample statistics bi (X-26- - X) boy-b.x For the coefficient of the independent variable, calculate its standard error, t-statistic, p-value, and confidence interval. Standard error of by: Sb. 18044**)? VEGE 3. Calculate the F-statistic for the regression and evaluate the statics (.e., its significance). In the process, SSR, SSE, SST, MSR, and MSE must be calculated with Excel formulas. Sum of squares due to error: SSE = 20-9) Sum of squares due to regression: SSR = 26. - y)2 Total sum of squares: SST = 0.- y)2 = SSR + SSE SSR MSR = k SSE MSE = n-(k+1) 4. Calculate R-square and relevant statistics (e.g., standard error of the estimate and adjusted R-square). Coefficient of determination: r2 = SSR SST Standard error of the estimate: s = VMSE SSE 1-2 Raj = 1-(1-R) n-1 n-k-1 where n is the sample size and k is the number of independent variables 5. Interpret the result of the analysis as to the following questions. What is the regression equation (ie., 9 = b + b x) for the given dataset? Is the model statistically significant? What is the basis of your answer? is the coefficient of the independent variable statistically significant? What is the basis of your answer? What is the power of the model? Interpret the statistic you use. If the mileage is 10000, what is the estimated price? Is this interpretation valid? a. b c. d. e