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 = 4.6 * weight - 279
This means that on average for every extra kilogram weight a rider loses 4.6 positions in the result.
Miletta
4
63 kgChacón
8
63 kgGálviz
15
65 kgGodoy
37
64 kgKers
56
71 kgHulsmans
64
75 kg
4
63 kgChacón
8
63 kgGálviz
15
65 kgGodoy
37
64 kgKers
56
71 kgHulsmans
64
75 kg
Weight (KG) →
Result →
75
63
4
64
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MILETTA Luigi | 63 |
| 8 | CHACÓN José Isidro | 63 |
| 15 | GÁLVIZ Carlos Johan | 65 |
| 37 | GODOY Yonder | 64 |
| 56 | KERS Koos Jeroen | 71 |
| 64 | HULSMANS Kevin | 75 |