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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Kelly
1
77 kgDelgado
4
64 kgMadiot
5
68 kgInduráin
8
76 kgMujika
12
73 kgKuiper
13
69 kgMauri
14
68 kg
1
77 kgDelgado
4
64 kgMadiot
5
68 kgInduráin
8
76 kgMujika
12
73 kgKuiper
13
69 kgMauri
14
68 kg
Weight (KG) →
Result →
77
64
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 4 | DELGADO Pedro | 64 |
| 5 | MADIOT Marc | 68 |
| 8 | INDURÁIN Miguel | 76 |
| 12 | MUJIKA Jokin | 73 |
| 13 | KUIPER Hennie | 69 |
| 14 | MAURI Melchor | 68 |