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 = -1.6 * weight + 122
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Saéz
5
74 kgBramucci
7
70 kgPijnen
9
72 kgSchleck
11
72 kgLasa
17
68 kg
5
74 kgBramucci
7
70 kgPijnen
9
72 kgSchleck
11
72 kgLasa
17
68 kg
Weight (KG) →
Result →
74
68
5
17
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | SAÉZ Ramón | 74 |
| 7 | BRAMUCCI Giovanni | 70 |
| 9 | PIJNEN René | 72 |
| 11 | SCHLECK Johny | 72 |
| 17 | LASA Miguel María | 68 |