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 = 0.9 * weight - 46
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Gilson
5
70 kgLasa
6
68 kgDíaz
23
72 kgSchleck
26
72 kgAja
26
66 kgGimondi
26
78 kg
5
70 kgLasa
6
68 kgDíaz
23
72 kgSchleck
26
72 kgAja
26
66 kgGimondi
26
78 kg
Weight (KG) →
Result →
78
66
5
26
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GILSON Roger | 70 |
| 6 | LASA Miguel María | 68 |
| 23 | DÍAZ Ventura | 72 |
| 26 | SCHLECK Johny | 72 |
| 26 | AJA Gonzalo | 66 |
| 26 | GIMONDI Felice | 78 |