By using the regression line `\hat y = 0.7 + 2.9x` and the below data, find the squares-of-residuals.
Solution:
x
|
y
|
`\hat y = 0.7 + 2.9x`
|
Error `( y - \hat y)`
|
Squared Error `( y - \hat y)^2`
|
-1
|
0
|
-2.2
|
2.2
|
4.84
|
0
|
2
|
0.7
|
1.3
|
1.69
|
1
|
4
|
3.6
|
0.4
|
0.16
|
2
|
5
|
6.5
|
-1.5
|
2.25
|
∑
|
|
|
|
8.94
|
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