Найти выборочное уравнение прямой
регрессии Y на X по данной корреляционной таблице.
1.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
| –
|
|
| –
| –
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n =100
|
2.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
| –
|
|
| –
| –
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n =100
|
3.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
| –
|
|
| –
| –
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n =100
|
4.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
| –
|
|
| –
| –
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n =100
|
5.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
| –
|
|
| –
| –
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n =100
|
6.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
| –
|
|
| –
| –
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n =100
|
7.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
| –
|
|
| –
| –
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n = 100
|
8.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
| –
|
|
| –
| –
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n = 100
|
9.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
| –
|
|
| –
| –
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n = 100
|
10.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
| –
|
|
| –
| –
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n = 100
|
11.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
| –
|
|
| –
| –
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n = 100
|
12.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
| –
| –
|
| –
| –
|
|
|
|
| –
|
|
|
|
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
|
| –
| –
| –
|
|
|
|
| nx
|
|
|
|
|
|
| n = 100
|
13.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
| –
| –
|
|
| –
| –
|
|
|
| –
|
| –
| –
| –
|
|
|
|
|
| –
|
| –
|
| –
|
|
|
| –
|
|
|
| –
| –
|
|
|
|
| –
| –
|
| –
|
|
|
| nx
|
|
|
|
|
|
| n = 100
|
14.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
| –
| –
| –
|
|
| –
|
|
|
| –
|
|
| –
| –
| –
|
|
|
| –
|
| –
|
|
| –
|
|
|
| –
| –
|
|
| –
|
|
|
|
|
| –
| –
|
|
| –
|
|
| nx
|
|
|
|
|
|
| n = 100
|
15.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
| –
|
|
|
| –
|
|
| –
| –
| –
|
|
|
|
| –
|
|
|
| –
|
|
|
| –
|
|
|
|
| –
|
|
|
| –
| –
| –
|
| –
|
|
|
| nx
|
|
|
|
|
|
| n = 100
|
16.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
|
| –
|
|
| –
| –
| –
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
|
|
|
|
| –
|
|
|
|
|
| –
| –
|
| –
|
|
| nx
|
|
|
|
|
|
| n = 100
|
17.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
|
| –
|
| –
| –
|
| –
|
|
|
|
| –
|
| –
| –
|
|
|
|
| –
|
|
|
|
| –
|
|
|
|
| –
|
|
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n = 100
|
18.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
| –
| –
|
| –
|
|
|
|
|
|
| –
|
| –
| –
|
|
|
|
| –
| –
|
|
|
| –
|
|
|
| –
|
|
| –
|
| –
|
|
|
|
| –
| –
|
|
| –
|
|
| nx
|
|
|
|
|
|
| n = 100
|
19.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
| –
| –
|
| –
|
|
|
|
|
|
| –
|
| –
| –
| –
|
|
|
| –
| –
|
| –
|
|
|
|
|
| –
|
|
| –
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n = 100
|
20.
| Y
| X
| ny
|
|
|
|
|
|
|
|
|
| –
| –
| –
|
| –
|
|
|
|
|
|
| –
| –
| –
| –
|
|
|
| –
| –
|
|
| –
| –
|
|
|
| –
|
|
| –
|
| –
|
|
|
| –
| –
| –
|
|
|
|
|
| nx
|
|
|
|
|
|
| n = 100
|