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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Cipollini
1
77 kgVan Petegem
3
70 kgEdo
4
64 kgHvastija
7
75 kgFondriest
8
70 kgRodrigues
9
68 kgSmetanine
10
69 kg
1
77 kgVan Petegem
3
70 kgEdo
4
64 kgHvastija
7
75 kgFondriest
8
70 kgRodrigues
9
68 kgSmetanine
10
69 kg
Weight (KG) →
Result →
77
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 3 | VAN PETEGEM Peter | 70 |
| 4 | EDO Ángel | 64 |
| 7 | HVASTIJA Martin | 75 |
| 8 | FONDRIEST Maurizio | 70 |
| 9 | RODRIGUES Orlando Sergio | 68 |
| 10 | SMETANINE Serguei | 69 |