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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Magnien
1
68 kgMoreau
2
71 kgGonzález de Galdeano
8
73 kgNazon
10
68 kgDiaz
11
55 kgGaumont
14
77 kgGreen
15
75 kg
1
68 kgMoreau
2
71 kgGonzález de Galdeano
8
73 kgNazon
10
68 kgDiaz
11
55 kgGaumont
14
77 kgGreen
15
75 kg
Weight (KG) →
Result →
77
55
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGNIEN Emmanuel | 68 |
| 2 | MOREAU Christophe | 71 |
| 8 | GONZÁLEZ DE GALDEANO Igor | 73 |
| 10 | NAZON Damien | 68 |
| 11 | DIAZ Rafael | 55 |
| 14 | GAUMONT Philippe | 77 |
| 15 | GREEN Roland | 75 |