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 = -0.3 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Pasamontes
1
72 kgMenchov
2
65 kgRogers
4
74 kgPineau
5
65 kgHary
6
68 kgSevilla
7
62 kg
1
72 kgMenchov
2
65 kgRogers
4
74 kgPineau
5
65 kgHary
6
68 kgSevilla
7
62 kg
Weight (KG) →
Result →
74
62
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PASAMONTES Luis | 72 |
| 2 | MENCHOV Denis | 65 |
| 4 | ROGERS Michael | 74 |
| 5 | PINEAU Jérôme | 65 |
| 6 | HARY Maryan | 68 |
| 7 | SEVILLA Óscar | 62 |