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 = 2.1 * weight - 119
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Raabe
2
71 kgAcevedo
4
63 kgRojas
5
58 kgBonilla
7
73 kgRamirez
8
71 kgLachance
59
72 kgBeukeboom
64
88 kgKers
74
71 kg
2
71 kgAcevedo
4
63 kgRojas
5
58 kgBonilla
7
73 kgRamirez
8
71 kgLachance
59
72 kgBeukeboom
64
88 kgKers
74
71 kg
Weight (KG) →
Result →
88
58
2
74
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAABE Henry | 71 |
| 4 | ACEVEDO Janier | 63 |
| 5 | ROJAS Juan Carlos | 58 |
| 7 | BONILLA José Adrián | 73 |
| 8 | RAMIREZ Federico | 71 |
| 59 | LACHANCE Jean-Michel | 72 |
| 64 | BEUKEBOOM Dion | 88 |
| 74 | KERS Koos Jeroen | 71 |