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 = 0.7 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Dupontreue
2
71 kgArchelais
11
64 kgHuot
14
66 kgFaillu
19
72 kgKienlen
23
78 kg
2
71 kgArchelais
11
64 kgHuot
14
66 kgFaillu
19
72 kgKienlen
23
78 kg
Weight (KG) →
Result →
78
64
2
23
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DUPONTREUE Alex | 71 |
| 11 | ARCHELAIS Jean | 64 |
| 14 | HUOT Marcel | 66 |
| 19 | FAILLU Émile | 72 |
| 23 | KIENLEN Jean | 78 |