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 = 1.8 * weight - 69
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Haagensen
23
61 kgPatras
29
69 kgHuitema
34
72 kgDotan
60
61 kgBossart
63
70 kgJordan
64
61 kgRaus
67
73 kgLefevre
105
75 kg
23
61 kgPatras
29
69 kgHuitema
34
72 kgDotan
60
61 kgBossart
63
70 kgJordan
64
61 kgRaus
67
73 kgLefevre
105
75 kg
Weight (KG) →
Result →
75
61
23
105
| # | Rider | Weight (KG) |
|---|---|---|
| 23 | HAAGENSEN Magnus | 61 |
| 29 | PATRAS Jakub | 69 |
| 34 | HUITEMA Thomas | 72 |
| 60 | DOTAN Ron | 61 |
| 63 | BOSSART Marin | 70 |
| 64 | JORDAN Ayden | 61 |
| 67 | RAUS Jérôme | 73 |
| 105 | LEFEVRE Fabrice | 75 |