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 = 1.1 * weight - 50
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Ramirez
13
71 kgRaabe
16
71 kgKers
17
71 kgBonilla
20
73 kgRojas
28
58 kgAcevedo
31
63 kgBeukeboom
64
88 kg
13
71 kgRaabe
16
71 kgKers
17
71 kgBonilla
20
73 kgRojas
28
58 kgAcevedo
31
63 kgBeukeboom
64
88 kg
Weight (KG) →
Result →
88
58
13
64
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | RAMIREZ Federico | 71 |
| 16 | RAABE Henry | 71 |
| 17 | KERS Koos Jeroen | 71 |
| 20 | BONILLA José Adrián | 73 |
| 28 | ROJAS Juan Carlos | 58 |
| 31 | ACEVEDO Janier | 63 |
| 64 | BEUKEBOOM Dion | 88 |