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) 1627.36i) 2712.26a) 976.41e) 1844.34j) 2929.2428. Determine the proportion of variance in Y explained by X (the coefficient ofb) 1193.39g) 2278.30c) 1410.37h) 2495.28f) 2061.32determination).a) 0.230f) 0.60229. Determine the standard deviation of the residuals, sb) 0.009g) 0.171c) 0.809h) 0.359d) 0.391i) 0.978e) 0.411j) 0.810c) 5.721h) 10.122a) 3.961d) 6.602i) 11.003b) 4.841e) 7.482f) 8.362g) 9.242j) 11.883 III. In the following example, the n = 20 employees (who lost there jobs when theircompany went bankrupt) were able to find employment within a two year period. Thetable below gives their previous salary X (in 1000$) and the salary of their newemployment Y (in 1000$).5 6 7EmployeePrevious Salary X (1000S)New Salary Y (1000O$)EmployeePrevious Salary X (1000S)New Salary Y (1000S)23491043.335.135.132.630.543.140.24337.13840.617.32220.837.44337.659.142.729.81112131415161718192039.022.6 19.8 43.945.032.155.627.345.756.750.937.023.023.246.833.649.334.546.858.2Note:n= 20, Σ = 765.7, Σν= 753.6, Σ=31021.43 , Σ-31274.42, Σy-301 80.25%3D

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Description: 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) 1627.36i) 2712.26a) 976.41e) 1844.34j) 2929.2428. Determine the proportion of variance in Y explaine

(27) Use EXCEL to determine the value of residual sum of squares.. EXCEL procedure: Go to EXCEL Go…

Math

Statistics

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

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Percentage

A percentage is a number indicated as a fraction of 100. It is a dimensionless number often expressed using the symbol %.

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In mathematics, an algebraic expression consists of constant(s), variable(s), and mathematical operators. It is made up of terms.

Numbers

Numbers are some measures used for counting. They can be compared one with another to know its position in the number line and determine which one is greater or lesser than the other.

Subtraction

Before we begin to understand the subtraction of algebraic expressions, we need to list out a few things that form the basis of algebra.

Addition

Before we begin to understand the addition of algebraic expressions, we need to list out a few things that form the basis of algebra.

Topic Video

Question

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

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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