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 = 0.5 * weight - 23
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Bruyneel
1
71 kgEarley
3
62 kgBauer
4
72 kgMauri
9
68 kgGianetti
13
62 kgde Rooij
15
69 kgHodge
18
74 kgJärmann
20
73 kg
1
71 kgEarley
3
62 kgBauer
4
72 kgMauri
9
68 kgGianetti
13
62 kgde Rooij
15
69 kgHodge
18
74 kgJärmann
20
73 kg
Weight (KG) →
Result →
74
62
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRUYNEEL Johan | 71 |
| 3 | EARLEY Martin | 62 |
| 4 | BAUER Steve | 72 |
| 9 | MAURI Melchor | 68 |
| 13 | GIANETTI Mauro | 62 |
| 15 | DE ROOIJ Theo | 69 |
| 18 | HODGE Stephen | 74 |
| 20 | JÄRMANN Rolf | 73 |