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 = 1.9 * weight - 112
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Acevedo
1
63 kgBonilla
2
73 kgRojas
3
58 kgRamirez
6
71 kgRaabe
12
71 kgBeukeboom
58
88 kgKers
62
71 kg
1
63 kgBonilla
2
73 kgRojas
3
58 kgRamirez
6
71 kgRaabe
12
71 kgBeukeboom
58
88 kgKers
62
71 kg
Weight (KG) →
Result →
88
58
1
62
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ACEVEDO Janier | 63 |
| 2 | BONILLA José Adrián | 73 |
| 3 | ROJAS Juan Carlos | 58 |
| 6 | RAMIREZ Federico | 71 |
| 12 | RAABE Henry | 71 |
| 58 | BEUKEBOOM Dion | 88 |
| 62 | KERS Koos Jeroen | 71 |