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 = 1.7 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Merchan
2
57 kgHonig
14
61 kgAlba
15
59 kgGandin
31
69 kgRestrepo
36
58 kgRubiano
44
58 kgRojas
47
64 kgOsorio
49
65 kg
2
57 kgHonig
14
61 kgAlba
15
59 kgGandin
31
69 kgRestrepo
36
58 kgRubiano
44
58 kgRojas
47
64 kgOsorio
49
65 kg
Weight (KG) →
Result →
69
57
2
49
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MERCHAN Didier | 57 |
| 14 | HONIG Reinier | 61 |
| 15 | ALBA Juan Diego | 59 |
| 31 | GANDIN Stefano | 69 |
| 36 | RESTREPO Juan Pablo | 58 |
| 44 | RUBIANO Miguel Angel | 58 |
| 47 | ROJAS Brandon Alejandro | 64 |
| 49 | OSORIO Juan Felipe | 65 |