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 = 0.3 * weight - 15
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Gerrans
4
62 kgBates
5
61 kgDavis
6
73 kgGardeyn
7
75 kgLhuillier
8
69 kgRenshaw
12
74 kgVan Goolen
14
70 kg
4
62 kgBates
5
61 kgDavis
6
73 kgGardeyn
7
75 kgLhuillier
8
69 kgRenshaw
12
74 kgVan Goolen
14
70 kg
Weight (KG) →
Result →
75
61
4
14
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GERRANS Simon | 62 |
| 5 | BATES Gene | 61 |
| 6 | DAVIS Allan | 73 |
| 7 | GARDEYN Gorik | 75 |
| 8 | LHUILLIER Régis | 69 |
| 12 | RENSHAW Mark | 74 |
| 14 | VAN GOOLEN Jurgen | 70 |