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 = 4.6 * weight - 306
This means that on average for every extra kilogram weight a rider loses 4.6 positions in the result.
Lasa
2
68 kgTamames
3
66 kgAja
4
66 kgMortensen
6
70 kgDíaz
17
72 kgSchleck
24
72 kgKrekels
48
73 kg
2
68 kgTamames
3
66 kgAja
4
66 kgMortensen
6
70 kgDíaz
17
72 kgSchleck
24
72 kgKrekels
48
73 kg
Weight (KG) →
Result →
73
66
2
48
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LASA Miguel María | 68 |
| 3 | TAMAMES Agustín | 66 |
| 4 | AJA Gonzalo | 66 |
| 6 | MORTENSEN Leif | 70 |
| 17 | DÍAZ Ventura | 72 |
| 24 | SCHLECK Johny | 72 |
| 48 | KREKELS Jan | 73 |