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 = 1.6 * weight - 91
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Acevedo
1
63 kgRojas
4
58 kgBonilla
5
73 kgRaabe
11
71 kgRamirez
12
71 kgBeukeboom
49
88 kgKers
56
71 kg
1
63 kgRojas
4
58 kgBonilla
5
73 kgRaabe
11
71 kgRamirez
12
71 kgBeukeboom
49
88 kgKers
56
71 kg
Weight (KG) →
Result →
88
58
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ACEVEDO Janier | 63 |
| 4 | ROJAS Juan Carlos | 58 |
| 5 | BONILLA José Adrián | 73 |
| 11 | RAABE Henry | 71 |
| 12 | RAMIREZ Federico | 71 |
| 49 | BEUKEBOOM Dion | 88 |
| 56 | KERS Koos Jeroen | 71 |