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 + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Štybar
4
68 kgCieślik
6
65 kgBelkov
8
71 kgVelits
12
63 kgVelits
13
70 kgSintsov
15
62 kgBiesek
16
66 kgWyss
17
65 kg
4
68 kgCieślik
6
65 kgBelkov
8
71 kgVelits
12
63 kgVelits
13
70 kgSintsov
15
62 kgBiesek
16
66 kgWyss
17
65 kg
Weight (KG) →
Result →
71
62
4
17
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ŠTYBAR Zdeněk | 68 |
| 6 | CIEŚLIK Paweł | 65 |
| 8 | BELKOV Maxim | 71 |
| 12 | VELITS Peter | 63 |
| 13 | VELITS Martin | 70 |
| 15 | SINTSOV Anton | 62 |
| 16 | BIESEK Szymon | 66 |
| 17 | WYSS Danilo | 65 |