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 = -2.8 * weight + 223
This means that on average for every extra kilogram weight a rider loses -2.8 positions in the result.
Raabe
2
71 kgRamirez
13
71 kgBonilla
25
73 kgRagonessi
28
67 kgBoillat
29
68 kgValencia
42
71 kgPérez
49
68 kg
2
71 kgRamirez
13
71 kgBonilla
25
73 kgRagonessi
28
67 kgBoillat
29
68 kgValencia
42
71 kgPérez
49
68 kg
Weight (KG) →
Result →
73
67
2
49
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAABE Henry | 71 |
| 13 | RAMIREZ Federico | 71 |
| 25 | BONILLA José Adrián | 73 |
| 28 | RAGONESSI José | 67 |
| 29 | BOILLAT Joris | 68 |
| 42 | VALENCIA Juan Pablo | 71 |
| 49 | PÉREZ Pedro Pablo | 68 |