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 = -2.1 * weight + 169
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
Lasa
5
68 kgMortensen
9
70 kgTamames
13
66 kgSchleck
16
72 kgDíaz
22
72 kgAja
26
66 kgKrekels
34
73 kgDucreux
71
65 kg
5
68 kgMortensen
9
70 kgTamames
13
66 kgSchleck
16
72 kgDíaz
22
72 kgAja
26
66 kgKrekels
34
73 kgDucreux
71
65 kg
Weight (KG) →
Result →
73
65
5
71
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | LASA Miguel María | 68 |
| 9 | MORTENSEN Leif | 70 |
| 13 | TAMAMES Agustín | 66 |
| 16 | SCHLECK Johny | 72 |
| 22 | DÍAZ Ventura | 72 |
| 26 | AJA Gonzalo | 66 |
| 34 | KREKELS Jan | 73 |
| 71 | DUCREUX Daniel | 65 |