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 = 0.7 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Kelly
4
77 kgDelgado
7
64 kgBernaudeau
11
64 kgDuclos-Lassalle
19
73 kgde Rooij
47
69 kgMujika
54
73 kg
4
77 kgDelgado
7
64 kgBernaudeau
11
64 kgDuclos-Lassalle
19
73 kgde Rooij
47
69 kgMujika
54
73 kg
Weight (KG) →
Result →
77
64
4
54
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KELLY Sean | 77 |
| 7 | DELGADO Pedro | 64 |
| 11 | BERNAUDEAU Jean-René | 64 |
| 19 | DUCLOS-LASSALLE Gilbert | 73 |
| 47 | DE ROOIJ Theo | 69 |
| 54 | MUJIKA Jokin | 73 |