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 + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Ojavee
2
80 kgShilov
4
67 kgMironov
6
68 kgIgnatenko
9
63 kgFirsanov
14
58 kgKuznetsov
22
70 kgNepomnyachshiy
26
62 kg
2
80 kgShilov
4
67 kgMironov
6
68 kgIgnatenko
9
63 kgFirsanov
14
58 kgKuznetsov
22
70 kgNepomnyachshiy
26
62 kg
Weight (KG) →
Result →
80
58
2
26
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | OJAVEE Mart | 80 |
| 4 | SHILOV Sergey | 67 |
| 6 | MIRONOV Alexander | 68 |
| 9 | IGNATENKO Petr | 63 |
| 14 | FIRSANOV Sergey | 58 |
| 22 | KUZNETSOV Viacheslav | 70 |
| 26 | NEPOMNYACHSHIY Yevgeniy | 62 |