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 = 3.3 * weight - 188
This means that on average for every extra kilogram weight a rider loses 3.3 positions in the result.
Delgado
2
64 kgKelly
3
77 kgMujika
42
73 kgde Rooij
57
69 kgDuclos-Lassalle
69
73 kgDe Wolf
77
75 kgInduráin
96
76 kg
2
64 kgKelly
3
77 kgMujika
42
73 kgde Rooij
57
69 kgDuclos-Lassalle
69
73 kgDe Wolf
77
75 kgInduráin
96
76 kg
Weight (KG) →
Result →
77
64
2
96
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DELGADO Pedro | 64 |
| 3 | KELLY Sean | 77 |
| 42 | MUJIKA Jokin | 73 |
| 57 | DE ROOIJ Theo | 69 |
| 69 | DUCLOS-LASSALLE Gilbert | 73 |
| 77 | DE WOLF Fons | 75 |
| 96 | INDURÁIN Miguel | 76 |