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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Marie
2
68 kgRoche
3
74 kgDuclos-Lassalle
5
73 kgCordes
11
70 kgKelly
13
77 kgEarley
14
62 kg
2
68 kgRoche
3
74 kgDuclos-Lassalle
5
73 kgCordes
11
70 kgKelly
13
77 kgEarley
14
62 kg
Weight (KG) →
Result →
77
62
2
14
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MARIE Thierry | 68 |
| 3 | ROCHE Stephen | 74 |
| 5 | DUCLOS-LASSALLE Gilbert | 73 |
| 11 | CORDES Tom | 70 |
| 13 | KELLY Sean | 77 |
| 14 | EARLEY Martin | 62 |