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 = 1.2 * weight - 67
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Rojas
2
58 kgAcevedo
3
63 kgBonilla
6
73 kgRamirez
12
71 kgRaabe
14
71 kgBeukeboom
37
88 kgKers
50
71 kg
2
58 kgAcevedo
3
63 kgBonilla
6
73 kgRamirez
12
71 kgRaabe
14
71 kgBeukeboom
37
88 kgKers
50
71 kg
Weight (KG) →
Result →
88
58
2
50
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROJAS Juan Carlos | 58 |
| 3 | ACEVEDO Janier | 63 |
| 6 | BONILLA José Adrián | 73 |
| 12 | RAMIREZ Federico | 71 |
| 14 | RAABE Henry | 71 |
| 37 | BEUKEBOOM Dion | 88 |
| 50 | KERS Koos Jeroen | 71 |