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 - 24
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Kostyuk
1
66 kgDueñas
2
61 kgSella
3
54 kgHernández Blázquez
4
58 kgGómez
8
68 kgMoinard
10
69 kgCorioni
13
67 kg
1
66 kgDueñas
2
61 kgSella
3
54 kgHernández Blázquez
4
58 kgGómez
8
68 kgMoinard
10
69 kgCorioni
13
67 kg
Weight (KG) →
Result →
69
54
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOSTYUK Denys | 66 |
| 2 | DUEÑAS Moisés | 61 |
| 3 | SELLA Emanuele | 54 |
| 4 | HERNÁNDEZ BLÁZQUEZ Jesús | 58 |
| 8 | GÓMEZ Ángel | 68 |
| 10 | MOINARD Amaël | 69 |
| 13 | CORIONI Claudio | 67 |