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 = -0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kruopis
2
80 kgWalsleben
3
66 kgBalykin
4
68 kgReinhardt
6
72 kgShushemoin
7
62 kg
2
80 kgWalsleben
3
66 kgBalykin
4
68 kgReinhardt
6
72 kgShushemoin
7
62 kg
Weight (KG) →
Result →
80
62
2
7
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KRUOPIS Aidis | 80 |
| 3 | WALSLEBEN Philipp | 66 |
| 4 | BALYKIN Ivan | 68 |
| 6 | REINHARDT Theo | 72 |
| 7 | SHUSHEMOIN Alexandr | 62 |