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 = -3.6 * weight + 276
This means that on average for every extra kilogram weight a rider loses -3.6 positions in the result.
Raabe
5
71 kgBoillat
9
68 kgBonilla
10
73 kgRamirez
11
71 kgRagonessi
35
67 kgPérez
54
68 kgValencia
56
71 kg
5
71 kgBoillat
9
68 kgBonilla
10
73 kgRamirez
11
71 kgRagonessi
35
67 kgPérez
54
68 kgValencia
56
71 kg
Weight (KG) →
Result →
73
67
5
56
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | RAABE Henry | 71 |
| 9 | BOILLAT Joris | 68 |
| 10 | BONILLA José Adrián | 73 |
| 11 | RAMIREZ Federico | 71 |
| 35 | RAGONESSI José | 67 |
| 54 | PÉREZ Pedro Pablo | 68 |
| 56 | VALENCIA Juan Pablo | 71 |