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 = 2.4 * weight - 151
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Pérez
1
68 kgRaabe
3
71 kgBoillat
6
68 kgRamirez
14
71 kgValencia
19
71 kgRagonessi
36
67 kgBonilla
46
73 kg
1
68 kgRaabe
3
71 kgBoillat
6
68 kgRamirez
14
71 kgValencia
19
71 kgRagonessi
36
67 kgBonilla
46
73 kg
Weight (KG) →
Result →
73
67
1
46
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉREZ Pedro Pablo | 68 |
| 3 | RAABE Henry | 71 |
| 6 | BOILLAT Joris | 68 |
| 14 | RAMIREZ Federico | 71 |
| 19 | VALENCIA Juan Pablo | 71 |
| 36 | RAGONESSI José | 67 |
| 46 | BONILLA José Adrián | 73 |