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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Garmendia
1
68 kgCuesta
3
62 kgPiepoli
4
54 kgBeltrán
5
60 kgDonati
6
75 kgAxelsson
7
73 kgHeras
8
59 kgRubiera
10
69 kg
1
68 kgCuesta
3
62 kgPiepoli
4
54 kgBeltrán
5
60 kgDonati
6
75 kgAxelsson
7
73 kgHeras
8
59 kgRubiera
10
69 kg
Weight (KG) →
Result →
75
54
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARMENDIA Aitor | 68 |
| 3 | CUESTA Iñigo | 62 |
| 4 | PIEPOLI Leonardo | 54 |
| 5 | BELTRÁN Manuel | 60 |
| 6 | DONATI Massimo | 75 |
| 7 | AXELSSON Niklas | 73 |
| 8 | HERAS Roberto | 59 |
| 10 | RUBIERA José Luis | 69 |