Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.3 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Kuznetsov
6
70 kgShilov
9
67 kgFirsanov
23
58 kgNepomnyachshiy
25
62 kgIgnatenko
28
63 kgMironov
29
68 kgOjavee
35
80 kg
6
70 kgShilov
9
67 kgFirsanov
23
58 kgNepomnyachshiy
25
62 kgIgnatenko
28
63 kgMironov
29
68 kgOjavee
35
80 kg
Weight (KG) →
Result →
80
58
6
35
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | KUZNETSOV Viacheslav | 70 |
| 9 | SHILOV Sergey | 67 |
| 23 | FIRSANOV Sergey | 58 |
| 25 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 28 | IGNATENKO Petr | 63 |
| 29 | MIRONOV Alexander | 68 |
| 35 | OJAVEE Mart | 80 |