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 = 0.1 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Ramirez
1
71 kgBonilla
2
73 kgRaabe
2
71 kgAcevedo
3
63 kgRojas
4
58 kgBeukeboom
6
88 kgKers
6
71 kgLachance
9
72 kg
1
71 kgBonilla
2
73 kgRaabe
2
71 kgAcevedo
3
63 kgRojas
4
58 kgBeukeboom
6
88 kgKers
6
71 kgLachance
9
72 kg
Weight (KG) →
Result →
88
58
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RAMIREZ Federico | 71 |
| 2 | BONILLA José Adrián | 73 |
| 2 | RAABE Henry | 71 |
| 3 | ACEVEDO Janier | 63 |
| 4 | ROJAS Juan Carlos | 58 |
| 6 | BEUKEBOOM Dion | 88 |
| 6 | KERS Koos Jeroen | 71 |
| 9 | LACHANCE Jean-Michel | 72 |