Please help me with these questions. Thank you a lot for helping me.

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\fA statistical program is recommended. The Honda Accord was named the best midsized carfor resale value for 2013 by the Kelley Blue Bouk.T The file AutoResale oorltalns mileage, age, and selling price for a sample of 33 Honda Accords. Use the estimated regression equation diet predicts the selling price of a used Honda Accord given the mileage and age ofle car to answer the following questions. (tetxL represent the mileage of die oar, x2 represent the age of die ear, and y represent the selling price of the ear.) I? = 20385.25 0.037,?ng 656.3367X2 (a) Estimate the selling price (in $) 01 a four-Year-uld Honda Accord with mileage of 40,000 miles. (Round your answer to the nearest dollar.) 5 (h) Develop a 95% confidence interval for le selling price (in $1 of a car with the data in part (a). (Round your answers to dre nearest dollar.) iii la 35 (c) Develop a 95% Prediction interval for the Selling Price [in 5) of a particular car having the data in Dart (a). (Round your answers tin the nearest dollar.) 5 lo 3 Need Help? \fThe following estimated regression equation based on ll] observations was presented. 9 = 291250 + 0.5806x1 + 0.4BBDX2 1119 values of SST and SSR are 6,719.125 and 6.218.375, respectively. (a) Find SSE. SSE : (b) Compute R2. (Round your answer to diree decimal places.) R2: (6) Compute R32. (Round your answer to three decimal places.) 2, Rar (d) Comment on the goodness oft. (For purposes ofiis exercise, consider a proportion large if it is at least 0.55.) O The estimated regrion equation did not provide a good t as a large proportion of the variability in y has been explained by die estimated regression equation. 0 The estimated regression equation did not provide a good t as a small proportion of the variability in y has been explained by the estimated regression equation. O The estimated regression equation provided a good t as a large proportion of the variability in y has been explained by the estimated regression equation. 0 The estimated regression equation provided a good t as a small proportion ofie variability in V has been explained by the estimated regression equation. The following estimated regression equation based on 3D observations was presented. 17 = 17.6 + 3m1 2.3x2 + 7.51:3 + 2.7x4 111e values of SST and SSR are 1,807 and 1,754, respectively. (3) Compute R2. (Round your answer to three decimal places.) R2= (b) Compute R32. (Round your answer to three decimal places.) R2: a (c) Comment on the goodness of t. (For purposes oflhis exercise, consider a proportion large if it is at least 0.55.) O The estimated regression equation did not provide a good t as a large proportion of the variability in y has been explained by the estimated regression equation. 0 The estimated regression equation provided a good lit as a large proportion of the variability in y has been explained by lhe estimated regression equation. 0 The estimated regremion equation did not provide a good t as a small proportion of the variability in y has been explained by the estimated regremion equation. 0 The estimated regremion equation provided a good lit as a small proportion oflhe variability in V has been explained by the estimated regression equation