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 = 0.2 * weight + 20
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Kelly
1
77 kgde Rooij
13
69 kgDuclos-Lassalle
35
73 kgMujika
49
73 kgDe Wolf
58
75 kg
1
77 kgde Rooij
13
69 kgDuclos-Lassalle
35
73 kgMujika
49
73 kgDe Wolf
58
75 kg
Weight (KG) →
Result →
77
69
1
58
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 13 | DE ROOIJ Theo | 69 |
| 35 | DUCLOS-LASSALLE Gilbert | 73 |
| 49 | MUJIKA Jokin | 73 |
| 58 | DE WOLF Fons | 75 |