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 = -0.4 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Zülle
1
72 kgJonker
2
69 kgMoreau
3
77 kgFondriest
5
70 kgSavoldelli
6
72 kgHamburger
8
58 kgGamito
12
66 kg
1
72 kgJonker
2
69 kgMoreau
3
77 kgFondriest
5
70 kgSavoldelli
6
72 kgHamburger
8
58 kgGamito
12
66 kg
Weight (KG) →
Result →
77
58
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZÜLLE Alex | 72 |
| 2 | JONKER Patrick | 69 |
| 3 | MOREAU Francis | 77 |
| 5 | FONDRIEST Maurizio | 70 |
| 6 | SAVOLDELLI Paolo | 72 |
| 8 | HAMBURGER Bo | 58 |
| 12 | GAMITO Vitor | 66 |