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 = -1.4 * weight + 133
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Zacharezewski
30
63 kgDotan
35
61 kgNisbett
41
61 kgRaus
46
73 kgLorentsson
54
59 kgLinser
82
56.7 kg
30
63 kgDotan
35
61 kgNisbett
41
61 kgRaus
46
73 kgLorentsson
54
59 kgLinser
82
56.7 kg
Weight (KG) →
Result →
73
56.7
30
82
| # | Rider | Weight (KG) |
|---|---|---|
| 30 | ZACHAREZEWSKI Patrik | 63 |
| 35 | DOTAN Ron | 61 |
| 41 | NISBETT Oscar | 61 |
| 46 | RAUS Jérôme | 73 |
| 54 | LORENTSSON Oscar | 59 |
| 82 | LINSER Ivan | 56.7 |