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 = 0.1 * weight + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Fondriest
1
70 kgGontchenkov
2
74 kgSpruch
5
68 kgOzers
6
73 kgPiziks
7
70 kgSchur
9
73 kgPiątek
10
71 kg
1
70 kgGontchenkov
2
74 kgSpruch
5
68 kgOzers
6
73 kgPiziks
7
70 kgSchur
9
73 kgPiątek
10
71 kg
Weight (KG) →
Result →
74
68
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONDRIEST Maurizio | 70 |
| 2 | GONTCHENKOV Alexander | 74 |
| 5 | SPRUCH Zbigniew | 68 |
| 6 | OZERS Kaspars | 73 |
| 7 | PIZIKS Arvis | 70 |
| 9 | SCHUR Jan | 73 |
| 10 | PIĄTEK Zbigniew | 71 |