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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Aït El Abdia
3
66 kgReus
7
70 kgLoubet
8
66 kgDraperi
11
70 kgLivramento
12
55 kgLahsaini
13
77 kgCazaux
15
59 kg
3
66 kgReus
7
70 kgLoubet
8
66 kgDraperi
11
70 kgLivramento
12
55 kgLahsaini
13
77 kgCazaux
15
59 kg
Weight (KG) →
Result →
77
55
3
15
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | AÏT EL ABDIA Anass | 66 |
| 7 | REUS Kai | 70 |
| 8 | LOUBET Julien | 66 |
| 11 | DRAPERI Matteo | 70 |
| 12 | LIVRAMENTO David | 55 |
| 13 | LAHSAINI Mouhssine | 77 |
| 15 | CAZAUX Pierre | 59 |