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Grade 31 Statistics and Probability
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Regression and Correlation -Linear Regression and Confidence Bounds for Prediction
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Question: Determine the equation of the regression line and plot the line on the scatter plot for the data.
x
2
8
7
5
3
6
4
1
y
6
8
4
1
5
7
2
3
A )
y
′ = 2.893 + 0.357
x
; Graph 1
B )
y
′ = 0.357 + 2.893
x
; Graph 3
C )
y
′ = 2.893 - 0.357
x
; Graph 2
D )
y
′ = - 0.357 + 2.893
x
; Graph 4
Steps to derive
1
Make a table with values for
x
,
y
,
x
2
,
xy
.
2
Regression line equation is
y
′ =
a + bx
a
=
(
Σ
y
)
(
Σ
x
2
)
-
(
Σ
x
)
(
Σ
x
y
)
n
(
Σ
x
2
)
-
(
Σ
x
)
2
b
=
n
(
Σ
x
y
)
-
(
Σ
x
)
(
Σ
y
)
n
(
Σ
x
2
)
-
(
Σ
x
)
2
3
a
= 2.893,
b
= 0.357
[Substitute the values and simplify.]
4
Therefore, the equation of the regression line
y
′ =
a + bx
is
y
′ = 2.893 + 0.357
x
.
5
Draw a scatter plot for the data and plot the line.
Hence the right answer is Option A
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