Question

Consider a linear regression model: h
(
x
)
=
2
+
x
. The machine learning training dataset is given below:
i. Find the value of the function defined as J
(
x
i
,
y
i
)
=
1
2
m
∑
m
i
=
0
(
h
(
x
i
)
−
y
i
)
2
where m
is the number of observations in the dataset and the notation ∑
m
i
=
0
(
h
(
x
i
)
−
y
i
)
2
means (
h
(
x
1
)
−
y
1
)
2
+
(
h
(
x
2
)
−
y
2
)
2
+
.
.
.
+
(
h
(
x
m
)
−
y
m
)
2
.
ii. If the input variable x
of the linear regression model h
(
x
)
=
n
x
+
c
(where n
is the slope and c
is the intercept) is changed by 1 unit, then by how much the output h
(
x
)
value will change?
(i) 5 (ii) by the slope value n
(i) 2.5 (ii) by the intercept value c
(i) 2.5 (ii) by the slope value n
(i) 10 (ii) by the intercept value c

Answer 1

Answer:

the state or quality of being unequal; disparity is called inequality

Step-by-step explanation:

the state or quality of being unequal; disparity is called inequality