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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Durand
2
76 kgBarthe
3
65 kgIvanov
4
73 kgZamana
5
74 kgSchaffrath
7
74 kgMeier
8
60 kgJaksche
9
69 kgMeier
10
69 kg
2
76 kgBarthe
3
65 kgIvanov
4
73 kgZamana
5
74 kgSchaffrath
7
74 kgMeier
8
60 kgJaksche
9
69 kgMeier
10
69 kg
Weight (KG) →
Result →
76
60
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DURAND Jacky | 76 |
| 3 | BARTHE Stéphane | 65 |
| 4 | IVANOV Sergei | 73 |
| 5 | ZAMANA Cezary | 74 |
| 7 | SCHAFFRATH Jan | 74 |
| 8 | MEIER Roland | 60 |
| 9 | JAKSCHE Jörg | 69 |
| 10 | MEIER Armin | 69 |