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 = 2.2 * weight - 116
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Gálviz
3
65 kgChacón
4
63 kgHulsmans
41
75 kgMiletta
44
63 kgGodoy
48
64 kgKers
65
71 kg
3
65 kgChacón
4
63 kgHulsmans
41
75 kgMiletta
44
63 kgGodoy
48
64 kgKers
65
71 kg
Weight (KG) →
Result →
75
63
3
65
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GÁLVIZ Carlos Johan | 65 |
| 4 | CHACÓN José Isidro | 63 |
| 41 | HULSMANS Kevin | 75 |
| 44 | MILETTA Luigi | 63 |
| 48 | GODOY Yonder | 64 |
| 65 | KERS Koos Jeroen | 71 |