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 = -1.5 * weight + 108
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Mauri
1
68 kgMuseeuw
2
71 kgvan der Poel
4
70 kgSkibby
9
70 kgDe Clercq
10
66 kgSunderland
14
65 kg
1
68 kgMuseeuw
2
71 kgvan der Poel
4
70 kgSkibby
9
70 kgDe Clercq
10
66 kgSunderland
14
65 kg
Weight (KG) →
Result →
71
65
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAURI Melchor | 68 |
| 2 | MUSEEUW Johan | 71 |
| 4 | VAN DER POEL Adrie | 70 |
| 9 | SKIBBY Jesper | 70 |
| 10 | DE CLERCQ Mario | 66 |
| 14 | SUNDERLAND Scott | 65 |