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

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

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section5.2: Exponential Functions
Problem 71E
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ques tion 27 and 28 and 29 are three subparts of the question so please solve all three thank you.

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