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 = -0.4 * weight + 69
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Duclos-Lassalle
5
73 kgKelly
9
77 kgDelgado
13
64 kgDe Wolf
17
75 kgMujika
49
73 kgde Rooij
85
69 kgYates
102
74 kg
5
73 kgKelly
9
77 kgDelgado
13
64 kgDe Wolf
17
75 kgMujika
49
73 kgde Rooij
85
69 kgYates
102
74 kg
Weight (KG) →
Result →
77
64
5
102
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DUCLOS-LASSALLE Gilbert | 73 |
| 9 | KELLY Sean | 77 |
| 13 | DELGADO Pedro | 64 |
| 17 | DE WOLF Fons | 75 |
| 49 | MUJIKA Jokin | 73 |
| 85 | DE ROOIJ Theo | 69 |
| 102 | YATES Sean | 74 |