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 = -5.4 * weight + 403
This means that on average for every extra kilogram weight a rider loses -5.4 positions in the result.
Raabe
1
71 kgRamirez
4
71 kgBoillat
18
68 kgBonilla
23
73 kgValencia
32
71 kgPérez
37
68 kgRagonessi
59
67 kg
1
71 kgRamirez
4
71 kgBoillat
18
68 kgBonilla
23
73 kgValencia
32
71 kgPérez
37
68 kgRagonessi
59
67 kg
Weight (KG) →
Result →
73
67
1
59
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAABE Henry | 71 |
| 4 | RAMIREZ Federico | 71 |
| 18 | BOILLAT Joris | 68 |
| 23 | BONILLA José Adrián | 73 |
| 32 | VALENCIA Juan Pablo | 71 |
| 37 | PÉREZ Pedro Pablo | 68 |
| 59 | RAGONESSI José | 67 |