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 = -0.6 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Dekker
1
66 kgArmstrong
2
72 kgRodrigues
3
68 kgCapelle
7
73 kgSimon
9
70 kgBrochard
13
68 kgBerzin
15
64 kg
1
66 kgArmstrong
2
72 kgRodrigues
3
68 kgCapelle
7
73 kgSimon
9
70 kgBrochard
13
68 kgBerzin
15
64 kg
Weight (KG) →
Result →
73
64
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKER Erik | 66 |
| 2 | ARMSTRONG Lance | 72 |
| 3 | RODRIGUES Orlando Sergio | 68 |
| 7 | CAPELLE Christophe | 73 |
| 9 | SIMON François | 70 |
| 13 | BROCHARD Laurent | 68 |
| 15 | BERZIN Evgeni | 64 |