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 - 92
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Rojas
1
58 kgAcevedo
3
63 kgRaabe
7
71 kgRamirez
11
71 kgBonilla
13
73 kgBeukeboom
47
88 kgKers
55
71 kg
1
58 kgAcevedo
3
63 kgRaabe
7
71 kgRamirez
11
71 kgBonilla
13
73 kgBeukeboom
47
88 kgKers
55
71 kg
Weight (KG) →
Result →
88
58
1
55
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROJAS Juan Carlos | 58 |
| 3 | ACEVEDO Janier | 63 |
| 7 | RAABE Henry | 71 |
| 11 | RAMIREZ Federico | 71 |
| 13 | BONILLA José Adrián | 73 |
| 47 | BEUKEBOOM Dion | 88 |
| 55 | KERS Koos Jeroen | 71 |