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 = -1.2 * weight + 97
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Merchan
1
57 kgHonig
7
61 kgGandin
8
69 kgRojas
17
64 kgAlba
27
59 kgOsorio
39
65 kgRestrepo
45
58 kgRubiano
51
58 kg
1
57 kgHonig
7
61 kgGandin
8
69 kgRojas
17
64 kgAlba
27
59 kgOsorio
39
65 kgRestrepo
45
58 kgRubiano
51
58 kg
Weight (KG) →
Result →
69
57
1
51
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MERCHAN Didier | 57 |
| 7 | HONIG Reinier | 61 |
| 8 | GANDIN Stefano | 69 |
| 17 | ROJAS Brandon Alejandro | 64 |
| 27 | ALBA Juan Diego | 59 |
| 39 | OSORIO Juan Felipe | 65 |
| 45 | RESTREPO Juan Pablo | 58 |
| 51 | RUBIANO Miguel Angel | 58 |