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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Borgarello
1
71 kgAlbini
4
70 kgPetiva
6
71 kgCanepari
9
62 kgAlpini
12
77 kg
1
71 kgAlbini
4
70 kgPetiva
6
71 kgCanepari
9
62 kgAlpini
12
77 kg
Weight (KG) →
Result →
77
62
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BORGARELLO Vincenzo | 71 |
| 4 | ALBINI Pierino | 70 |
| 6 | PETIVA Emilio | 71 |
| 9 | CANEPARI Clemente | 62 |
| 12 | ALPINI Adrien | 77 |