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 = 0.9 * weight - 41
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Firsanov
1
58 kgIgnatenko
3
63 kgMironov
4
68 kgNepomnyachshiy
17
62 kgOjavee
21
80 kgKuznetsov
23
70 kgShilov
43
67 kg
1
58 kgIgnatenko
3
63 kgMironov
4
68 kgNepomnyachshiy
17
62 kgOjavee
21
80 kgKuznetsov
23
70 kgShilov
43
67 kg
Weight (KG) →
Result →
80
58
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIRSANOV Sergey | 58 |
| 3 | IGNATENKO Petr | 63 |
| 4 | MIRONOV Alexander | 68 |
| 17 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 21 | OJAVEE Mart | 80 |
| 23 | KUZNETSOV Viacheslav | 70 |
| 43 | SHILOV Sergey | 67 |