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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Lasa
1
68 kgDíaz
2
72 kgAja
3
66 kgGimondi
4
78 kgGilson
5
70 kgSchleck
8
72 kg
1
68 kgDíaz
2
72 kgAja
3
66 kgGimondi
4
78 kgGilson
5
70 kgSchleck
8
72 kg
Weight (KG) →
Result →
78
66
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LASA Miguel María | 68 |
| 2 | DÍAZ Ventura | 72 |
| 3 | AJA Gonzalo | 66 |
| 4 | GIMONDI Felice | 78 |
| 5 | GILSON Roger | 70 |
| 8 | SCHLECK Johny | 72 |