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 = 1.1 * weight - 42
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Merchan
3
57 kgAlba
9
59 kgHonig
14
61 kgRojas
19
64 kgGandin
35
69 kgRubiano
38
58 kgOsorio
42
65 kgRestrepo
48
58 kg
3
57 kgAlba
9
59 kgHonig
14
61 kgRojas
19
64 kgGandin
35
69 kgRubiano
38
58 kgOsorio
42
65 kgRestrepo
48
58 kg
Weight (KG) →
Result →
69
57
3
48
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MERCHAN Didier | 57 |
| 9 | ALBA Juan Diego | 59 |
| 14 | HONIG Reinier | 61 |
| 19 | ROJAS Brandon Alejandro | 64 |
| 35 | GANDIN Stefano | 69 |
| 38 | RUBIANO Miguel Angel | 58 |
| 42 | OSORIO Juan Felipe | 65 |
| 48 | RESTREPO Juan Pablo | 58 |