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 = 3.6 * weight - 233
This means that on average for every extra kilogram weight a rider loses 3.6 positions in the result.
Tamames
1
66 kgLasa
3
68 kgMortensen
5
70 kgDíaz
13
72 kgAja
15
66 kgSchleck
21
72 kgKrekels
47
73 kg
1
66 kgLasa
3
68 kgMortensen
5
70 kgDíaz
13
72 kgAja
15
66 kgSchleck
21
72 kgKrekels
47
73 kg
Weight (KG) →
Result →
73
66
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAMAMES Agustín | 66 |
| 3 | LASA Miguel María | 68 |
| 5 | MORTENSEN Leif | 70 |
| 13 | DÍAZ Ventura | 72 |
| 15 | AJA Gonzalo | 66 |
| 21 | SCHLECK Johny | 72 |
| 47 | KREKELS Jan | 73 |