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
|