Question 3 - Least squares criterion — minimising the sum of squared residuals Practice | Prasnya
Prasnya
Continue with Google
Practice path
Dashboard
Exam
Qualifier / Quiz 1
Go to subject
Mathematics 1
Go to chapter
Week 2
Go to topic
Straight-Line Fit - Straight-Line Fit
Go to subtopic
Least squares criterion...
Question 3
00:00
Est. 2 min
Marks:
+3.00
0.00
Sushmita was calculating SSE (sum squared error) and she found that SSE is a function of
a
a
as follows:
S
S
E
=
f
(
a
)
=
a
2
−
8
a
+
30
SSE=f(a)=a^2-8a+30
. What will be the best fit value?
Multiple correct
Easy Difficulty
16 October 2022
A
9
9
B
14
14
C
0
0
D
−
2
-2
