For a given data set, the following four straight line models were proposed and the Sum of Squared Errors SSE calculated as 422, 529, 815, and 1161, without knowing which number is for which model. 15 10 5 0 15 10 5 0 0 0 5 O 5 a) Regression by eye Sample size=35 SSE(Model c) = SSE(Model d) = B O O O 8 O 10 O O c) Regression by eye Sample size=35 10 O 00 X O DO 15 O 0 15 O 20 20 O 15 10 5+ 0 15 10 ii) Identify the value of SSE for each of the models above: SSE(Model a) = SSE(Model b) = to 5+ 0 0 O 5 O 5 b) Regression by eye Sample size=35 O 10 O O i) Based on visual obsevation, which straight line model fits the data set the best? A. Model b) B. Model c) D. Model a) O C. Model d) d) Regression by eye Sample size=35 10 X 15 00 O 15 0 O 20 。。 O O 20 O O
For a given data set, the following four straight line models were proposed and the Sum of Squared Errors SSE calculated as 422, 529, 815, and 1161, without knowing which number is for which model. 15 10 5 0 15 10 5 0 0 0 5 O 5 a) Regression by eye Sample size=35 SSE(Model c) = SSE(Model d) = B O O O 8 O 10 O O c) Regression by eye Sample size=35 10 O 00 X O DO 15 O 0 15 O 20 20 O 15 10 5+ 0 15 10 ii) Identify the value of SSE for each of the models above: SSE(Model a) = SSE(Model b) = to 5+ 0 0 O 5 O 5 b) Regression by eye Sample size=35 O 10 O O i) Based on visual obsevation, which straight line model fits the data set the best? A. Model b) B. Model c) D. Model a) O C. Model d) d) Regression by eye Sample size=35 10 X 15 00 O 15 0 O 20 。。 O O 20 O O
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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Transcribed Image Text:For a given data set, the following four straight line models were proposed and the Sum of Squared Errors SSE calculated
as 422, 529, 815, and 1161, without knowing which number is for which model.
15
10
5
0
15
10
5
0
0
0
O
5
5
a)
Regression by eye
Sample size=35
O
O
0
0
0
80
0
10
O
00
X
Regression by eye
Sample size=35
80
of
10
O
D
O
O
O
15
0
15
O
O
20
0
O
20
O
O
15
10
5
0
15
y
10
ii) Identify the value of SSE for each of the models above:
SSE(Model a) =
SSE(Model b) =
SSE(Model c) =
SSE(Model d) =
0
5
0-
0
5
O
5
b)
Regression by eye
Sample size=35
8
O
O
8
O
10
O
d)
Regression by eye
Sample size=35
8
i) Based on visual obsevation, which straight line model fits the data set the best?
A. Model b)
B. Model c)
O C. Model d)
D. Model a)
O
10
00
X
15
O
15
O
O
20
O
O
20
O
O
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