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 - 112
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
Chacón
2
63 kgGálviz
3
65 kgHulsmans
47
75 kgGodoy
52
64 kgMiletta
55
63 kgKers
64
71 kg
2
63 kgGálviz
3
65 kgHulsmans
47
75 kgGodoy
52
64 kgMiletta
55
63 kgKers
64
71 kg
Weight (KG) →
Result →
75
63
2
64
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHACÓN José Isidro | 63 |
| 3 | GÁLVIZ Carlos Johan | 65 |
| 47 | HULSMANS Kevin | 75 |
| 52 | GODOY Yonder | 64 |
| 55 | MILETTA Luigi | 63 |
| 64 | KERS Koos Jeroen | 71 |