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 = 0.4 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Ekimov
1
69 kgRoche
2
74 kgMauri
3
68 kgBreukink
4
70 kgBruyneel
5
71 kgInduráin
7
76 kg
1
69 kgRoche
2
74 kgMauri
3
68 kgBreukink
4
70 kgBruyneel
5
71 kgInduráin
7
76 kg
Weight (KG) →
Result →
76
68
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EKIMOV Viatcheslav | 69 |
| 2 | ROCHE Stephen | 74 |
| 3 | MAURI Melchor | 68 |
| 4 | BREUKINK Erik | 70 |
| 5 | BRUYNEEL Johan | 71 |
| 7 | INDURÁIN Miguel | 76 |