27. Determine the Residual Sum of Squares (RSS). d) 1627.36 i) 2712.26 a) 976.41 e) 1844.34 j) 2929.24 28. Determine the proportion of variance in Y explained by X (the coefficient of b) 1193.39 g)...

ques tion 27 and 28 and 29 are three subparts of the question so please solve all three thank you.

Extracted text: 27. Determine the Residual Sum of Squares (RSS). d) 1627.36 i) 2712.26 a) 976.41 e) 1844.34 j) 2929.24 28. Determine the proportion of variance in Y explained by X (the coefficient of b) 1193.39 g) 2278.30 c) 1410.37 h) 2495.28 f) 2061.32 determination). a) 0.230 f) 0.602 29. Determine the standard deviation of the residuals, s b) 0.009 g) 0.171 c) 0.809 h) 0.359 d) 0.391 i) 0.978 e) 0.411 j) 0.810 c) 5.721 h) 10.122 a) 3.961 d) 6.602 i) 11.003 b) 4.841 e) 7.482 f) 8.362 g) 9.242 j) 11.883


Extracted text: III. In the following example, the n = 20 employees (who lost there jobs when their company went bankrupt) were able to find employment within a two year period. The table below gives their previous salary X (in 1000$) and the salary of their new employment Y (in 1000$). 5 6 7 Employee Previous Salary X (1000S) New Salary Y (1000O$) Employee Previous Salary X (1000S) New Salary Y (1000S) 2 3 4 9 10 43.3 35.1 35.1 32.6 30.5 43.1 40.2 43 37.1 38 40.6 17.3 22 20.8 37.4 43 37.6 59.1 42.7 29.8 11 12 13 14 15 16 17 18 19 20 39.0 22.6 19.8 43.9 45.0 32.1 55.6 27.3 45.7 56.7 50.9 37.0 23.0 23.2 46.8 33.6 49.3 34.5 46.8 58.2 Note: n= 20, Σ = 765.7, Σν= 753.6, Σ=31021.43 , Σ-31274.42, Σy-301 80.25 %3D