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 = 0.8 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Sukhoruchenkov
17
72 kgKlasa
19
79 kgNajjari
36
68 kgSzuromi
68
85 kgvan der Poel
69
70 kg
17
72 kgKlasa
19
79 kgNajjari
36
68 kgSzuromi
68
85 kgvan der Poel
69
70 kg
Weight (KG) →
Result →
85
68
17
69
| # | Rider | Weight (KG) |
|---|---|---|
| 17 | SUKHORUCHENKOV Sergei | 72 |
| 19 | KLASA Michal | 79 |
| 36 | NAJJARI Mustapha | 68 |
| 68 | SZUROMI György | 85 |
| 69 | VAN DER POEL Adrie | 70 |