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 = -4.7 * weight + 351
This means that on average for every extra kilogram weight a rider loses -4.7 positions in the result.
Pérez
1
68 kgValencia
6
71 kgBonilla
15
73 kgRaabe
19
71 kgRamirez
23
71 kgRagonessi
48
67 kgBoillat
53
68 kg
1
68 kgValencia
6
71 kgBonilla
15
73 kgRaabe
19
71 kgRamirez
23
71 kgRagonessi
48
67 kgBoillat
53
68 kg
Weight (KG) →
Result →
73
67
1
53
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PÉREZ Pedro Pablo | 68 |
| 6 | VALENCIA Juan Pablo | 71 |
| 15 | BONILLA José Adrián | 73 |
| 19 | RAABE Henry | 71 |
| 23 | RAMIREZ Federico | 71 |
| 48 | RAGONESSI José | 67 |
| 53 | BOILLAT Joris | 68 |