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 = -0.5 * weight + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
van der Poel
1
70 kgRué
5
74 kgMarie
6
68 kgInduráin
7
76 kgWinnen
17
60 kgRoche
20
74 kgMadiot
21
68 kg
1
70 kgRué
5
74 kgMarie
6
68 kgInduráin
7
76 kgWinnen
17
60 kgRoche
20
74 kgMadiot
21
68 kg
Weight (KG) →
Result →
76
60
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Adrie | 70 |
| 5 | RUÉ Gérard | 74 |
| 6 | MARIE Thierry | 68 |
| 7 | INDURÁIN Miguel | 76 |
| 17 | WINNEN Peter | 60 |
| 20 | ROCHE Stephen | 74 |
| 21 | MADIOT Marc | 68 |