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 - 30
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Bates
1
61 kgEisel
4
74 kgSchumacher
6
71 kgRenshaw
8
74 kgVan Impe
9
75 kgKemps
11
73 kg
1
61 kgEisel
4
74 kgSchumacher
6
71 kgRenshaw
8
74 kgVan Impe
9
75 kgKemps
11
73 kg
Weight (KG) →
Result →
75
61
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BATES Gene | 61 |
| 4 | EISEL Bernhard | 74 |
| 6 | SCHUMACHER Stefan | 71 |
| 8 | RENSHAW Mark | 74 |
| 9 | VAN IMPE Kevin | 75 |
| 11 | KEMPS Aaron | 73 |