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 = 0.5 * weight - 18
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Bonilla
1
73 kgAcevedo
3
63 kgRaabe
4
71 kgRojas
6
58 kgBeukeboom
19
88 kgRamirez
20
71 kgKers
61
71 kg
1
73 kgAcevedo
3
63 kgRaabe
4
71 kgRojas
6
58 kgBeukeboom
19
88 kgRamirez
20
71 kgKers
61
71 kg
Weight (KG) →
Result →
88
58
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONILLA José Adrián | 73 |
| 3 | ACEVEDO Janier | 63 |
| 4 | RAABE Henry | 71 |
| 6 | ROJAS Juan Carlos | 58 |
| 19 | BEUKEBOOM Dion | 88 |
| 20 | RAMIREZ Federico | 71 |
| 61 | KERS Koos Jeroen | 71 |