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 = 0.6 * weight - 17
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Mironov
5
68 kgFirsanov
7
58 kgKuznetsov
10
70 kgIgnatenko
14
63 kgOjavee
32
80 kgNepomnyachshiy
36
62 kgShilov
43
67 kg
5
68 kgFirsanov
7
58 kgKuznetsov
10
70 kgIgnatenko
14
63 kgOjavee
32
80 kgNepomnyachshiy
36
62 kgShilov
43
67 kg
Weight (KG) →
Result →
80
58
5
43
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MIRONOV Alexander | 68 |
| 7 | FIRSANOV Sergey | 58 |
| 10 | KUZNETSOV Viacheslav | 70 |
| 14 | IGNATENKO Petr | 63 |
| 32 | OJAVEE Mart | 80 |
| 36 | NEPOMNYACHSHIY Yevgeniy | 62 |
| 43 | SHILOV Sergey | 67 |