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 = 1.4 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Acevedo
4
63 kgRaabe
6
71 kgRojas
7
58 kgRamirez
9
71 kgBonilla
12
73 kgBeukeboom
46
88 kgKers
67
71 kg
4
63 kgRaabe
6
71 kgRojas
7
58 kgRamirez
9
71 kgBonilla
12
73 kgBeukeboom
46
88 kgKers
67
71 kg
Weight (KG) →
Result →
88
58
4
67
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ACEVEDO Janier | 63 |
| 6 | RAABE Henry | 71 |
| 7 | ROJAS Juan Carlos | 58 |
| 9 | RAMIREZ Federico | 71 |
| 12 | BONILLA José Adrián | 73 |
| 46 | BEUKEBOOM Dion | 88 |
| 67 | KERS Koos Jeroen | 71 |